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Number of items at this level: 513.

A

Akrour, R. and Peters, J. and Neuman, G. (2018):
Constraint-Space Projection Direct Policy Search.
In: European Workshops on Reinforcement Learning (EWRL), Lille, France, [Online-Edition: https://www.ias.informatik.tu-darmstadt.de/uploads/Team/Riad...],
[Conference or Workshop Item]

Akrour, R. and Veiga, F. and Peters, J. and Neuman, G. (2018):
Regularizing Reinforcement Learning with State Abstraction.
In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Online-Edition: https://www.ias.informatik.tu-darmstadt.de/uploads/Team/Riad...],
[Conference or Workshop Item]

Abdulsamad, H. and Arenz, O. and Peters, J. and Neumann, G. (2017):
State-Regularized Policy Search for Linearized Dynamical Systems.
In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Akrour, R. and Sorokin, D. and Peters, J. and Neumann, G. (2017):
Local Bayesian Optimization of Motor Skills.
In: Proceedings of the International Conference on Machine Learning (ICML), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Arenz, O. and Abdulsamad, H. and Neumann, G. (2016):
Optimal Control and Inverse Optimal Control by Distribution Matching.
In: Proceedings of the International Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/OlegArenz/OC an...],
[Conference or Workshop Item]

Abdolmaleki, A. and Lau, N. and Reis, L. and Peters, J. and Neumann, G. (2016):
Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller.
In: Journal of Intelligent & Robotic Systems, pp. 393-408, 83, (3-4), [Online-Edition: https://link.springer.com/article/10.1007/s10846-016-0347-y],
[Article]

Akrour, R. and Abdolmaleki, A. and Abdulsamad, H. and Neumann, G. (2016):
Model-Free Trajectory Optimization for Reinforcement Learning.
In: Proceedings of the International Conference on Machine Learning (ICML), [Online-Edition: http://proceedings.mlr.press/v48/akrour16.pdf],
[Conference or Workshop Item]

Azad, M. and Ortenzi, V. and Lin, C. and Rueckert, E. and Mistry, M. (2016):
Model Estimation and Control of Complaint Contact Normal Force.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: https://rueckert.lima-city.de/papers/Humanoids2016Azad.pdf],
[Conference or Workshop Item]

Abdolmaleki, A. and Lioutikov, R. and Peters, J and Lau, N. and Reis, L. and Neumann, G. (2015):
Model-Based Relative Entropy Stochastic Search.
mit press, In: Advances in Neural Information Processing Systems (NIPS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/GerhardNeumann/...],
[Conference or Workshop Item]

Alvaro, M. and Peters, J. and Schölkopf, B. and Lawrence, N. (2011):
Switched Latent Force Models for Movement Segmentation.
In: Advances in Neural Information Processing Systems 24 (NIPS 2010), Cambridge, MA: MIT Press, In: Spotlight � Acceptance Rate: 5.9%, [Conference or Workshop Item]

Alvaro, Mauricio A. and Peters, Jan and Schoelkopf, Bernhard and Lawrence, Neil D. (2010):
Switched Latent Force Models for Movement Segmentation.
In: Advances in neural information processing systems 23 : Proceedings of the 2010 Conference, Red Hook, NY : Curran, Neural Information Processing Systems Foundation, In: 24th Annual Conference on Neural Information Processing Systems 2010, Vancouver, Canada, 2010.12.06-09, [Online-Edition: http://robot-learning.de/uploads/Publications/Alvarez_NIPS_2...],
[Conference or Workshop Item]

B

Brandherm, Florian and Peters, Jan and Neumann, Gerhard and Akrour, Riad (2019):
Learning Replanning Policies with Direct Policy Search.
In: IEEE Robotics and Automation Letters, IEEE, pp. 2196- 2203, 4, (2), DOI: 10.1109/LRA.2019.2901656,
[Online-Edition: https://doi.org/10.1109/LRA.2019.2901656],
[Article]

Buechler, Dieter and Calandra, Roberto and Schoelkopf, Bernhard and Peters, Jan (2018):
Control of Musculoskeletal Systems using Learned Dynamics Models.
In: IEEE Robotics and Automation Letters, pp. 3161-3168, 3, (4), ISSN 2377-3766, 2377-3774 (elektronisch),
DOI: 10.1109/LRA.2018.284960,
[Article]

Brandherm, Florian (2018):
Learning Replanning Policies with Direct Policy Search.
TU Darmstadt, [Online-Edition: https://www.ias.informatik.tu-darmstadt.de/uploads/Team/Riad...],
[Master Thesis]

Belousov, B. and Peters, J. (2018):
Mean squared advantage minimization as a consequence of entropic policy improvement regularization.
In: The 14th European Workshop on Reinforcement Learning (EWRL 2018), Lille, France, October 1-3, 2018, [Online-Edition: https://www.ias.informatik.tu-darmstadt.de/uploads/Team/Bori...],
[Conference or Workshop Item]

Belousov, B. and Peters, J. (2017):
f-Divergence constrained policy improvement.
In: Journal of Machine Learning Research X, [Online-Edition: https://arxiv.org/pdf/1801.00056.pdf],
[Article]

Belousov, B. and Neumann, G. and Rothkopf, C. A. and Peters, J. (2017):
Catching heuristics are optimal control policies.
In: Proceedings of the Karniel Thirteenth Computational Motor Control Workshop, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Busch, Baptiste and Maeda, Guilherme and Mollard, Yoan and Demangeat, Marie and Lopes, Manuel (2017):
Postural Optimization for an Ergonomic Human-Robot Interaction.
IEEE, In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 24-28 Sept. 2017, DOI: 10.1109/IROS.2017.8206107,
[Conference or Workshop Item]

Buechler, D. and Ott, H. and Peters, J. (2016):
A Lightweight Robotic Arm with Pneumatic Muscles for Robot Learning.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Belousov, B. and Neumann, G. and Rothkopf, C. and Peters, J. (2016):
Catching heuristics are optimal control policies.
In: Advances in Neural Information Processing Systems (NIPS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Brandl, S. and Kroemer, O. and Peters, J. (2014):
Generalizing Pouring Actions Between Objects using Warped Parameters.
In: International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Site/EditPublication/...],
[Conference or Workshop Item]

Bocsi, B. and Csato, L. and Peters, J. (2014):
Indirect Robot Model Learning for Tracking Control.
In: Advanced Robotics, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Bocsi_AR...],
[Article]

Bischoff, B. and Nguyen-Tuong, D. and van Hoof, A. and Rasmussen, C. E. and Knoll, A. and Peters, J. and Deisenroth, M. P. (2014):
Policy Search For Learning Robot Control Using Sparse Data.
In: Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=690...],
[Conference or Workshop Item]

Ben Amor, H. and Neumann, G. and Kamthe, S. and Kroemer, O. and Peters, J. (2014):
Interaction Primitives for Human-Robot Cooperation Tasks.
In: Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=690...],
[Conference or Workshop Item]

Bocsi, B. and Csato, L. and Peters, J. (2013):
Alignment-based Transfer Learning for Robot Models.
In: International Joint Conference on Neural Networks (IJCNN), Dallas, Texas, USA, Aug 4, 2013 - Aug 9, 2013, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Ben Amor, H. and Vogt, D. and Ewerton, M. and Berger, E. and Jung, B. and Peters, J. (2013):
Learning Responsive Robot Behavior by Imitation.
In: Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Berger, E. and Vogt, D. and Haji-Ghassemi, N. and Jung, B. and Ben Amor, H. (2013):
Inferring Guidance Information in Cooperative Human-Robot Tasks.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Bocsi, B. and Hennig, P. and Csato, L. and Peters, J. (2012):
Learning Tracking Control with Forward Models.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), St. Paul, Minnesota, USA, May 14-18, 2012, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=622...],
[Conference or Workshop Item]

Boularias, A. and Kroemer, O. and Peters, J. (2012):
Structured Apprenticeship Learning.
In: Proceedings of the European Conference on Machine Learning (ECML), Bristol, UK, September 24-28, 2012, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Ben Amor, H. and Kroemer, O. and Hillenbrand, U. and Neumann, G. and Peters, J. (2012):
Generalization of Human Grasping for Multi-Fingered Robot Hands.
In: Proceedings of the International Conference on Robot Systems (IROS), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Boularias, A. and Kroemer, O. and Peters, J. (2012):
Algorithms for Learning Markov Field Policies.
In: Advances in Neural Information Processing Systems 26 (NIPS 2012), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Boularias, A. and Kroemer, O. and Peters, J. (2011):
Learning Robot Grasping from 3D Images with Markov Random Fields.
In: IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Boula...],
[Conference or Workshop Item]

Boularias, A. and Kober, J. and Peters, J. (2011):
Model-free Inverse Reinforcement Learning.
In: Proceedings of the International Conference on Artificial Intelligence and Statistics (AIStats), In: Acceptance Rate: 28.3%, [Conference or Workshop Item]

Bocsi, B. and Nguyen-Tuong, D. and Csato, L. and Schoelkopf, B. and Peters, J. (2011):
Learning Inverse Kinematics with Structured Prediction.
In: IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), San Francisco, California, September 25-30, 2011, [Online-Edition: http://robot-learning.de/uploads/Publications/Bocsi_IROS_201...],
[Conference or Workshop Item]

Boularias, A. and Kober, J. and Peters, J. (2011):
Relative Entropy Inverse Reinforcement Learning.
In: Proceedings of Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011), Fort Lauderdale, FL, USA, April 11-13, 2011, [Online-Edition: http://jmlr.csail.mit.edu/proceedings/papers/v15/boularias11...],
[Conference or Workshop Item]

Bocsi, B. and Nguyen-Tuong, D. and Csatol, L. and Schölkopf, B. and Peters, Jan (2011):
Learning Inverse Kinematics with Structured Prediction.
In: IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), [Conference or Workshop Item]

Boularias, A. and Kroemer, O. and Peters, J. (2011):
Learning Robot Grasping from 3-D Images with Markov Random Fields.
In: IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), [Conference or Workshop Item]

Burdet, E. and Tee, K. P. and Chew, C. M. and Peters, Jan and Loo, V. B. T. (2001):
Hybrid IDM/Impedance Learning in Human Movements.
In: First International Symposium on Measurement, Analysis and Modeling of Human Functions Proceedings, [Conference or Workshop Item]

Burdet, E. and Tee, K. P. and Chew, C. M. and Peters, J. and Bt, V. L. (2001):
Hybrid IDM/Impedance Learning in Human Movements.
In: First International Symposium on Measurement, Analysis and Modeling of Human Functions Proceedings, Sapporo, Japan, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Burdet, E. and Tee, K. P. and Chew, C. M. and Peters, J. and Bt, V. L. (2001):
Hybrid IDM/Impedance Learning in Human Movements.
In: First International Symposium on Measurement, Analysis and Modeling of Human Functions Proceedings, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

C

Calandra, Roberto (2017):
Bayesian Modeling for Optimization and Control in Robotics.
Darmstadt, Technische Universität, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/5878],
[Ph.D. Thesis]

Calandra, R. and Peters, J. and Rasmussen, C. E. and Deisenroth, M. P. (2016):
Manifold Gaussian Processes for Regression.
In: Proceedings of the International Joint Conference on Neural Networks (IJCNN), [Online-Edition: http://arxiv.org/pdf/1402.5876v4],
[Conference or Workshop Item]

Calandra, R. and Ivaldi, S. and Deisenroth, M. and Peters, J. (2015):
Learning Torque Control in Presence of Contacts using Tactile Sensing from Robot Skin.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), Seoul, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=736...],
[Conference or Workshop Item]

Calandra, R. and Seyfarth, A. and Peters, J. and Deisenroth, M. (2015):
Bayesian Optimization for Learning Gaits under Uncertainty.
In: Annals of Mathematics and Artificial Intelligence (AMAI), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Article]

Calandra, R. and Ivaldi, S. and Deisenroth, M. and Rueckert, E. and Peters, J. (2015):
Learning Inverse Dynamics Models with Contacts.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Calandra, R. and Gopalan, N. and Seyfarth, A. and Peters, J. and Deisenroth, M. P.
Pardalos, P. M. (ed.) (2014):
Bayesian Gait Optimization for Bipedal Locomotion.
In: Proceedings of the 2014 Learning and Intelligent Optimization Conference (LION8), Gainesville, FL, February 16-21, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Site/EditPublication/...],
[Conference or Workshop Item]

Chebotar, Y. and Kroemer, O. and Peters, J. (2014):
Learning Robot Tactile Sensing for Object Manipulation.
In: IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Chicago, IL, September 2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Chebotar...],
[Conference or Workshop Item]

Calandra, R. and Seyfarth, A. and Peters, J. and Deisenroth, M.P. (2014):
An Experimental Comparison of Bayesian Optimization for Bipedal Locomotion.
In: Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=690...],
[Conference or Workshop Item]

Colome, A. and Neumann, G. and Peters, J. and Torras, C. (2014):
Dimensionality Reduction for Probabilistic Movement Primitives.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Colome_H...],
[Conference or Workshop Item]

Calandra, R. and Raiko, T. and Deisenroth, M.P. and Montesino Pouzols, F. (2012):
Learning Deep Belief Networks from Non-Stationary Streams.
In: International Conference on Artificial Neural Networks (ICANN), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Site/EditP...],
[Conference or Workshop Item]

Chiappa, S. and Peters, J. (2011):
Movement extraction by detecting dynamics switches and repetitions.
In: Advances in Neural Information Processing Systems 24 (NIPS 2010), Cambridge, MA: MIT Press, In: Regular Paper � Acceptance Rate: 24%, [Conference or Workshop Item]

Chiappa, Silvia and Peters, Jan (2010):
Movement extraction by detecting dynamics switches and repetitions.
In: Advances in neural information processing systems 23 : Proceedings of the 2010 Conference, Red Hook, NY : Curran, Neural Information Processing Systems Foundation, In: 24th Annual Conference on Neural Information Processing Systems 2010, Vancouver, Canada, 2010.12.06-09, [Online-Edition: http://robot-learning.de/uploads/Publications/Chiappa_NIPS_2...],
[Conference or Workshop Item]

Chiappa, Silvia and Kober, Jens and Peters, Jan R. (2009):
Using Bayesian Dynamical Systems for Motion Template Libraries.
In: Advances in neural information processing systems 21 : [proceedings], Red Hook, NY, Curran, In: 22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS), Vancouver, Canada, 2008.12.08-10, [Online-Edition: http://www-clmc.usc.edu/publications/C/chiappa_NIPS2008.pdf],
[Conference or Workshop Item]

Chiappa, S. and Kober, J. and Peters, J. (2009):
Using Bayesian Dynamical Systems for Motion Template Libraries.
In: Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press, In: Regular Paper � Acceptance Rate: 24%, [Conference or Workshop Item]

D

Dermy, O. and Paraschos, A. and Ewerton, M. and Charpillet, F. and Peters, J. and Ivaldi, S (2017):
Prediction of intention during interaction with iCub with Probabilistic Movement Primitives.
In: Frontiers in Robotics and AI, p. 45, [Online-Edition: https://doi.org/10.3389/frobt.2017.00045],
[Article]

Delfa Victoria, Juan Manuel (2016):
Automated Hierarchical, Forward-Chaining Temporal Planner for Planetary Robots Exploring Unknown Environments.
Darmstadt, Technische Universität Darmstadt, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/5537],
[Ph.D. Thesis]

Daniel, Christian (2016):
Learning Hierarchical Policies from Human Feedback.
Darmstadt, Technische Universität Darmstadt, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/5345],
[Ph.D. Thesis]

Daniel, Christian and van Hoof, Herke and Peters, Jan and Neumann, Gerhard (2016):
Probabilistic Inference for Determining Options in Reinforcement Learning.
In: Machine Learning, pp. 337-357, 104, (2-3), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Article]

Dezfuli, Niloofar (2015):
Novel Interaction Concepts for Event Participation Through Social Television.
TU Darmstadt, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/4384],
[Ph.D. Thesis]

Daniel, C. and Kroemer, O. and Viering, M. and Metz, J. and Peters, J. (2015):
Active Reward Learning with a Novel Acquisition Function.
In: Autonomous Robots, Springer, pp. 389-405, 39, (3), ISSN 0929-5593,
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/ChristianDaniel...],
[Article]

Dann, C. and Neumann, G. and Peters, J. (2015):
Policy Evaluation with Temporal Differences: A Survey and Comparison.
In: Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling (ICAPS), [Conference or Workshop Item]

Droniou, A. and Ivaldi, S. and Sigaud, O. (2015):
Deep unsupervised network for multimodal perception, representation and classification.
In: Robotics and Autonomous Systems, pp. 83-98, 71, [Online-Edition: https://ac.els-cdn.com/S0921889014002474/1-s2.0-S09218890140...],
[Article]

Daniel, C. and Viering, M. and Metz, J. and Kroemer, O. and Peters, J. (2014):
Active Reward Learning.
In: Proceedings of Robotics: Science & Systems (R:SS), [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Daniel_R...],
[Conference or Workshop Item]

Dann, C. and Neumann, G. and Peters, J. (2014):
Policy Evaluation with Temporal Differences: A Survey and Comparison.
In: Journal of Machine Learning Research 15 (2014) 809-883, pp. 809-883, 15, (March), [Online-Edition: http://jmlr.org/papers/volume15/dann14a/dann14a.pdf],
[Article]

Deisenroth, M. P. and Fox, D. and Rasmussen, C. E. (2014):
Gaussian Processes for Data-Efficient Learning in Robotics and Control.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, [Online-Edition: http://www.doc.ic.ac.uk/~mpd37/publications/pami_final_w_app...],
[Article]

Deisenroth, M.P. and Englert, P. and Peters, J. and Fox, D. (2014):
Multi-Task Policy Search for Robotics.
In: Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong,, May 31 - June 7, 2014, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=690...],
[Conference or Workshop Item]

Daniel, C. and Neumann, G. and Kroemer, O. and Peters, J. (2013):
Learning Sequential Motor Tasks.
In: Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, May 6-10, 2013, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Daniel, C. and Neumann, G. and Peters, J. (2013):
Autonomous Reinforcement Learning with Hierarchical REPS.
In: International Joint Conference on Neural Networks (IJCNN), Dallas, Texas, USA, Aug 4, 2013 - Aug 9, 2013, [Conference or Workshop Item]

Deisenroth, M. P. and Neumann, G. and Peters, J. (2013):
A Survey on Policy Search for Robotics.
In: Foundations and Trends in Robotics, Foundations and Trends R © in Robotics Vol. 2, Nos. 1–2 (2011) 1–142 c ©, pp. 388-403, 2, (1-2), DOI: 10.1561/2300000021,
[Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Site/EditPublication/...],
[Article]

Daniel, C. and Neumann, G. and Peters, J. (2012):
Hierarchical Relative Entropy Policy Search.
In: International Conference on Artificial Intelligence and Statistics (AISTATS 2012), La Palma, Canary Islands, April 21-23, 2012, [Online-Edition: https://www.aistats.org/aistats2012/],
[Conference or Workshop Item]

Deisenroth, M. P. and Turner, R. and Huber, M. and Hanebeck, U. D. and Rasmussen, C. E. (2012):
Robust Filtering and Smoothing with Gaussian Processes.
In: IEEE Transactions on Automatic Control, IEEE, pp. 1865-1871, 57, (7), ISSN 0018-9286,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Site/EditP...],
[Article]

Deisenroth, M.P. and Mohamed, S. (2012):
Expectation Propagation in Gaussian Process Dynamical Systems.
mit press, In: Advances in Neural Information Processing Systems 26 (NIPS), Cambridge, MA: MIT Press., Lake Tahoe, Nevada, December 3-8, 2012, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Deisenroth, M.P. and Calandra, R. and Seyfarth, A. and Peters, J. (2012):
Toward Fast Policy Search for Learning Legged Locomotion.
In: Proceedings of the International Conference on Robot Systems (IROS), Vilamoura, Algarve, Portugal, October 7-12, 2012, [Online-Edition: https://ieeexplore.ieee.org/document/6385955],
[Conference or Workshop Item]

Daniel, C. and Neumann, G. and Peters, J. (2012):
Learning Concurrent Motor Skills in Versatile Solution Spaces.
In: Proceedings of the International Conference on Robot Systems (IROS), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Deisenroth, M.P. and Peters, J. (2012):
Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise.
In: Proceedings of the European Workshop on Reinforcement Learning (EWRL), [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Deisenro...],
[Conference or Workshop Item]

Detry, R. and Kraft, D. and Kroemer, O. and Peters, J. and Krueger, N. and Piater, J. (2011):
Learning Grasp Affordance Densities.
pp. 1-17, (1), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Detry...],
[Article]

Detry, R. and Kraft, D. and Krömer, O. and Bodenhagen, L. and Peters, J. and Krüger, N. and Piater, J. (2011):
Learning Grasp Affordance Densities.
In: Paladyn Journal of Behavioral Robotics, pp. 1-17, (2(1)), [Article]

Detry, R. and Baseski, E. and Popovic, M. and Touati, Y. and Krüger, N. and Kroemer, O. and Peters, J. and Piater, J. (2010):
Learning Continuous Grasp Affordances by Sensorimotor Exploration.
In: From Motor Learning to Interaction Learning in Robots, Berlin, Springer, pp. 451-465, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Detry...],
[Book Section]

Detry, R. and Baseski, E. and Popovic, M. and Touati, Y. and Krüger, N. and Krömer, O. and Peters, J. and Piater, J. (2010):
Learning Continuous Grasp Affordances by Sensorimotor Exploration.
In: From Motor Learning to Interaction Learning in Robots, Springer Verlag, 264, [Conference or Workshop Item]

Deisenroth, Marc Peter and Rasmussen, Carl Edward and Peters, Jan (2009):
Gaussian Process Dynamic Programming.
In: Neurocomputing, Elsevier, pp. 1508-1524, 72, (7-9), [Online-Edition: http://robot-learning.de/uploads/Publications/Neurocomputing...],
[Article]

Detry, R. and Baseski, E. and Popovic, M. and Touati, Y. and Krueger, N. and Kroemer, O. and Peters, J. and Piater, J. (2009):
Learning Object-specific Grasp Affordance Densities.
In: International Conference on Development & Learning (ICDL 2009), Shanghai, China, 5-7 June 2009, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/ICDL2...],
[Conference or Workshop Item]

Deisenroth, M. P. and Rasmussen, C. E. and Peters, J. (2009):
Gaussian Process Dynamic Programming.
In: Neurocomputing, pp. 1508-1524, (72(7-9)), [Article]

Detry, E. and Popovic, M. and Touati, Y. and Krüger, O. and Peters, J. and Piater, J. (2009):
Learning Object-specific Grasp Affordance Densities.
In: Proceedings of the International Conference on Development & Learning (ICDL), [Conference or Workshop Item]

Deisenroth, M. P. and Peters, J. and Rasmussen, C. E. (2008):
Approximate Dynamic Programming with Gaussian Processes.
In: American Control Conference, Seattle, Washington, Friday, June 11-13, 2008, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=458...],
[Conference or Workshop Item]

Deisenroth, M. P. and Rasmussen, C. E. and Peters, J. (2008):
Model-Based Reinforcement Learning with Continuous States and Actions.
In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2008), Bruges, Belgium, April 23-25, 2008, [Online-Edition: http://robot-learning.de/uploads/Publications/deisenroth_ESA...],
[Conference or Workshop Item]

Deisenroth, M. and Peters, J. and Rasmussen, C. (2008):
Approximate Dynamic Programming with Gaussian Processes.
In: American Control Conference (ACC), [Conference or Workshop Item]

Deisenroth, M. P. and Rasmussen, C. E. and Peters, J. (2008):
Model-Based Reinforcement Learning with Continuous States and Actions.
In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN), [Conference or Workshop Item]

Daniel, C. and Neumann, G. and Kroemer, O. and Peters, J. (2000):
Hierarchical Relative Entropy Policy Search.
In: Journal of Machine Learning Research, pp. 1-48, 1, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Article]

E

Ewerton, Marco and Rother, David and Weimar, Jakob and Kollegger, Gerrit and Wiemeyer, Josef and Peters, Jan and Maeda, Guilherme (2018):
Assisting Movement Training and Execution with Visual and Haptic Feedback.
In: Frontiers in Neurorobotics, ISSN 1662-5218,
DOI: 10.3389/fnbot.2018.00024,
[Online-Edition: https://www.frontiersin.org/articles/10.3389/fnbot.2018.0002...],
[Article]

Ewerton, M. and Kollegger, G. and Maeda, G. and Wiemeyer, J. and Peters, J. (2017):
Iterative Feedback-basierte Korrekturstrategien beim Bewegungslernen von Mensch-Roboter-Dyaden.
In: DVS Sportmotorik 2017, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/MarcoEwerton/ew...],
[Conference or Workshop Item]

End, F. and Akrour, R. and Peters, J. and Neumann, G. (2017):
Layered Direct Policy Search for Learning Hierarchical Skills.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Research/Overview/ic...],
[Conference or Workshop Item]

Ewerton, M. and Maeda, G. and Rother, D. and Weimar, J. and Lotter, L. and Kollegger, G. and Wiemeyer, J. and Peters, J. (2017):
Assisting the practice of motor skills by humans with a probability distribution over trajectories.
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Member/PubMarcoEwert...],
[Other]

Ewerton, M. and Maeda, G. and Neumann, G. and Kisner, V. and Kollegger, G. and Wiemeyer, J. and Peters, J. (2016):
Movement Primitives with Multiple Phase Parameters.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/MarcoEwerton/ew...],
[Conference or Workshop Item]

Ewerton, M. and Maeda, G. J. and Kollegger, G. and Wiemeyer, J. and Peters, J. (2016):
Incremental Imitation Learning of Context-Dependent Motor Skills.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/MarcoEwerton/ew...],
[Conference or Workshop Item]

Ewerton, M. and Neumann, G. and Lioutikov, R. and Ben Amor, H. and Peters, J. and Maeda, G. (2015):
Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Ewerton, M. and Neumann, G. and Lioutikov, R. and Ben Amor, H. and Peters, J. and Maeda, G. (2015):
Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives.
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/MarcoEwerton/ew...],
[Other]

Ewerton, M. and Maeda, G. J. and Peters, J. and Neumann, G. (2015):
Learning Motor Skills from Partially Observed Movements Executed at Different Speeds.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=735...],
[Conference or Workshop Item]

Englert, P. and Paraschos, A. and Peters, J. and Deisenroth, M. P. (2013):
Model-based Imitation Learning by Probabilistic Trajectory Matching.
In: IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, May 6-10, 2013, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Englert, P. and Paraschos, A. and Peters, J. and Deisenroth, M.P. (2013):
Probabilistic Model-based Imitation Learning.
In: Adaptive Behavior Journal, pp. 388-403, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Englert_...],
[Article]

Erkan, Ayşe Naz and Detry, Renaud and Altun, Yasemin and Piater, Justus and Peters, Jan and Kroemer, Oliver (2010):
Learning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision.
In: IEEE/RSJ International Conference on Intelligent Robots and Systems : Conference proceedings, IEEE, In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, 18-22 Oct. 2010, DOI: 10.1109/IROS.2010.5650088,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/erkan...],
[Conference or Workshop Item]

Erkan, O. and Detry, R. and Altun, Y. and Piater, J. and Peters, J. (2010):
Learning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision.
In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

F

Farraj, F. B. and Osa, T. and Pedemonte, N. and Peters, J. and Neumann, G. and Giordano, P.R. (2017):
A Learning-based Shared Control Architecture for Interactive Task Execution.
In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Fiebig, Karl-Heinz and Jayaram, Vinay and Hesse, Thomas and Blank, Alexander and Peters, Jan and Grosse-Wentrup, Moritz (2017):
Bayesian Regression for Artifact Correction in Electroencephalography.
In: Proceedings of the 7th Graz Brain-Computer Interface Conference 2017, DOI: 10.3217/978-3-85125-533-1-25,
[Conference or Workshop Item]

Fiebig, K.-H. and Jayaram, V. and Peters, J. and Grosse-Wentrup, M. (2016):
Multi-Task Logistic Regression in Brain-Computer Interfaces.
In: 6th Workshop on Brain-Machine Interface Systems, Budapest, October, 8-12, 2016, [Online-Edition: https://brain.ieee.org/upcoming-events/smc2016-bmi-workshop/],
[Conference or Workshop Item]

Fritsche, L. and Unverzagt, F. and Peters, J. and Calandra, R. (2015):
First-Person Tele-Operation of a Humanoid Robot.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=736...],
[Conference or Workshop Item]

G

Gebhardt, Gregor H.W. (2019):
Using Mean Embeddings for State Estimation and Reinforcement Learning.
Darmstadt, Technische Universität, [Online-Edition: https://tuprints.ulb.tu-darmstadt.de/8434],
[Ph.D. Thesis]

Gebhardt, G.H.W. and Daun, K. and Schnaubelt, M. and Neumann, G. (2018):
Learning Robust Policies for Object Manipulation with Robot Swarms.
In: Proceedings of the IEEE International Conference on Robotics and Automation, In: 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, Australia, May 21-25, 2018, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/GregorGebhardt/...],
[Conference or Workshop Item]

Gondaliya, K.D. and Peters, J. and Rueckert, E. (2018):
Learning to Categorize Bug Reports with LSTM Networks.
In: The 10th International Conference on Advances in System Testing and Validation Lifecycle (VALID), Nice, France, [Online-Edition: https://rob.ai-lab.science/wp/VALID2018Gondaliya.pdf],
[Conference or Workshop Item]

Gebhardt, G. H. W. and Kupcsik, A. G. and Neumann, G. (2017):
The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares.
In: Proceedings of the National Conference on Artificial Intelligence (AAAI), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/GregorGebhardt/...],
[Conference or Workshop Item]

Gabriel, A. and Akrour, R. and Peters, J. and Neumann, G. (2017):
Empowered Skills.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Research/Overview/ic...],
[Conference or Workshop Item]

Gebhardt, G.H.W. and Daun, K. and Schnaubelt, M. and Hendrich, A. and Kauth, D. and Neumann, G. (2017):
Learning to Assemble Objects with a Robot Swarm.
international foundation for autonomous agents and multiagent systems, In: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 17), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/GregorGebhardt/...],
[Conference or Workshop Item]

Grossberger, L. and Hohmann, M.R. and Peters,, J. and Grosse-Wentrup, M. (2017):
Investigating Music Imagery as a Cognitive Paradigm for Low-Cost Brain-Computer Interfaces.
In: Proceedings of the 7th Graz Brain-Computer Interface Conference, [Conference or Workshop Item]

Gomez-Gonzalez, S. and Neumann, G. and Schoelkopf, B. and Peters, J. (2016):
Using Probabilistic Movement Primitives for Striking Movements.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Gomez, V. and Kappen, B. and Peters, J. and Neumann, G. (2014):
Policy Search for Path Integral Control.
In: European Conference on Machine Learning (ECML), Nancy, 15.-19. September 2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Gomez_EC...],
[Conference or Workshop Item]

Gopalan, N. and Deisenroth, M. P. and Peters, J. (2013):
Feedback Error Learning for Rhythmic Motor Primitives.
In: IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, May 6-10, 2013, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Gomez-Rodriguez, M. and Peters, J. and Hill, J. and Schoelkopf, B. and Gharabaghi, A. and Grosse-Wentrup, M. (2011):
Closing the Sensorimotor Loop: Haptic Feedback Helps Decoding of Motor Imagery.
In: Journal of Neural Engineering, http://iopscience.iop.org/article/10.1088/1741-2560/8/3/036005/meta, 8, (3), DOI: 10.1088/1741-2560/8/3/036005,
[Online-Edition: http://robot-learning.de/uploads/Publications/Gomez-Rodrigue...],
[Article]

Gomez-Rodriguez, M. and Grosse-Wentrup, M. and Hill, J. and Schoelkopf, B. and Gharabaghi, A. and Peters, J. (2011):
Towards Brain-Robot Interfaces for Stroke Rehabilitation.
In: Proceedings of the International Conference on Rehabilitation Robotics (ICORR), San Francisco, California, September 25-30, 2011, [Online-Edition: http://robot-learning.de/uploads/Publications/Gomez_ICORR_20...],
[Conference or Workshop Item]

Gomez-Rodriguez, M. and Peters, Hill and Schölkopf, B. and Gharabaghi, A. and Grosse-Wentrup, M. (2011):
Closing the Sensorimotor Loop: Haptic Feedback Helps Decoding of Motor Imagery.
In: Journal of Neuroengineering, 8(3), [Article]

Gomez-Rodriguez, M. and Grosse-Wentrup, M. and Hill, J. and Schölkopf, B. and Gharabaghi, A. and Peters, J. (2011):
Towards Brain-Robot Interfaces for Stroke Rehabilitation.
In: Proceedings of the International Conference on Rehabilitation Robotics (ICORR), [Conference or Workshop Item]

Gomez Rodriguez, M. and Peters, J. and Hill, J. and Gharabaghi, A. and Schölkopf, B. and Grosse-Wentrup, M. (2010):
Combining Real-Time Brain-Computer Interfacing and Robot Control for Stroke Rehabilitation.
In: Proceedings of the Brain-Computer Interface Workshop at SIMPAR 2010, Nov. 15, 2010. Darmstadt, Germany, [Conference or Workshop Item]

Gomez Rodriguez, M. and Peters, J. and Hill, J. and Gharabaghi, A. and Schölkopf, B. and Grosse-Wentrup, M. (2010):
BCI and robotics framework for stroke rehabilitation.
In: Proceedings of the 4th International BCI Meeting, May 31-June 4, 2010. Asilomar, CA, USA, [Conference or Workshop Item]

Gomez-Rodriguez, M. and Grosse-Wentrup, M. and Peters, J. and Naros, G. and Hill, J. and Gharabaghi, A. and Schoelkopf, B. (2010):
Epidural ECoG Online Decoding of Arm Movement Intention in Hemiparesis.
In: First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging (WBD): Proceedings, IEEE, In: 1st ICPR Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging, Istanbul, Turkey, 22-22 Aug. 2010, DOI: 10.1109/WBD.2010.17,
[Online-Edition: http://robot-learning.de/uploads/Publications/ICPR-WBD-2010-...],
[Conference or Workshop Item]

Gomez-Rodriguez, M. and Peters, J. and Hill, J. and Schoelkopf, B. and Gharabaghi, A. and Grosse-Wentrup, M. (2010):
Closing the Sensorimotor Loop: Haptic Feedback Facilitates Decoding of Arm Movement Imagery.
In: IEEE International Conference on Systems, Man and Cybernetics : Proceedings, IEEE, In: IEEE International Conference on Systems, Man, and Cybernetics (Workshop on Brain-Machine Interfaces), Istanbul, Turkey, 10-13 Oct. 2010, DOI: 10.1109/ICSMC.2010.5642217,
[Online-Edition: http://robot-learning.de/uploads/Publications/eeg-smc2010_65...],
[Conference or Workshop Item]

Gomez-Rodriguez, M. and Grosse-Wentrup, M. and Peters, J. and Naros, G. and Hill, J. and Gharabaghi, A. and Schölkopf, B. (2010):
Epidural ECoG Online Decoding of Arm Movement Intention in Hemiparesis.
In: 1st ICPR Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging, [Conference or Workshop Item]

Gomez-Rodriguez, M. and Peters, Hill and Schölkopf, B. and Gharabaghi, A. and Grosse-Wentrup, M. (2010):
Closing the Sensorimotor Loop: Haptic Feedback Facilitates Decoding of Arm Movement Imagery.
In: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, [Conference or Workshop Item]

Gomez Rodriguez, M. and Kober, J. and Schoelkopf, B. (2009):
Denoising photographs using dark frames optimized by quadratic programming.
In: Proceedings of the First IEEE International Conference on Computational Photography (ICCP 2009), San Francisco, CA, USA, 16.-17. April 2009, DOI: 10.1109/ICCPHOT.2009.5559013,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/ICCP0...],
[Conference or Workshop Item]

H

Huang, Yanlong and Büchler, Dieter and Koc, Okan and Schölkopf, Bernhard and Peters, Jan (2016):
Jointly Learning Trajectory Generation and Hitting Point Prediction in Robot Table Tennis.
In: 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), IEEE, Cancun, Mexico, 15-17 Nov. 2016, DOI: 10.1109/HUMANOIDS.2016.7803343,
[Conference or Workshop Item]

Huang, Y. and Schoelkopf, B. and Peters, J. (2015):
Learning Optimal Striking Points for A Ping-Pong Playing Robot.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=735...],
[Conference or Workshop Item]

Hoelscher, J. and Peters, J. and Hermans, T. (2015):
Evaluation of Interactive Object Recognition with Tactile Sensing.
In: International Conference on Humanoid Robots (HUMANOIDS), Seoul, 3.-5.11.2015, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=736...],
[Conference or Workshop Item]

Haji-Ghassemi, N. and Deisenroth, M.P. (2014):
Approximate Inference for Long-Term Forecasting with Periodic Gaussian Processes.
In: Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), [Online-Edition: https://spiral.imperial.ac.uk:8443/bitstream/10044/1/12886/2...],
[Conference or Workshop Item]

Hermans, T. and Veiga, F. and Hölscher, J. and van Hoof, H. and Peters, J. (2014):
Demonstration: Learning for Tactile Manipulation.
mit press, In: Advances in Neural Information Processing Systems (NIPS), Demonstration Track., Montreal, Canada, 8-13 December 2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Team/TuckerHermans/le...],
[Conference or Workshop Item]

Hachiya, H. and Peters, J. and Sugiyama, M. (2011):
Reward Weighted Regression with Sample Reuse.
In: Neural Computation, pp. 2798-2832, (23(11)), [Article]

Hachiya, H. and Peters, J. and Sugiyama, M. (2011):
Reward Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning.
In: Neural Computation, MIT Press, pp. 2798-2832, 23, (11), [Online-Edition: http://robot-learning.de/uploads/Publications/Hachiya_NC2011...],
[Article]

Hachiya, H. and Akiyama, T. and Sugiyama, M. and Peters, J. (2009):
Adaptive Importance Sampling for Value Function Approximation in On-policy Reinforcement Learning.
In: Neural Networks, 22(10), pp.1399-1410, [Article]

Hachiya, H. and Peters, J. and Sugiyama, M. (2009):
Adaptive Importance Sampling with Automatic Model Selection in Reward Weighted Regression.
In: Proceedings of the Workshop of Technical Committee on Neurocomputing, In: Winner of the IEEE CIS Japan Chapter YRA Award, [Conference or Workshop Item]

Hachiya, Hirotaka and Peters, Jan and Sugiyama, Masashi (2009):
Efficient Sample Reuse in EM-based Policy Search.
In: Machine Learning and Knowledge Discovery in Databases : Proceedings Pt.I, Berlin, Springer, In: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, In: Lecture Notes in Computer Science, 5781, DOI: 10.1007/978-3-642-04180-8_48,
[Online-Edition: http://www-clmc.usc.edu/publications/H/hachiya_ECML2009.pdf],
[Conference or Workshop Item]

Hachiya, Hirotaka and Akiyama, Takayuki and Sugiyama, Masashi and Peters, Jan (2009):
Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning.
In: Neural Networks, pp. 1399-1410, 22, (10), ISSN 0893-6080,
DOI: 10.1016/j.neunet.2009.01.002,
[Online-Edition: http://robot-learning.de/uploads/Publications/hachiya-Adapti...],
[Article]

Hoffman, Matthew and de Freitas, Nando and Doucet, Arnaud and Peters, Jan (2009):
An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward.
In: Proceedings of Machine Learning Research, In: Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats), 5, [Online-Edition: http://robot-learning.de/uploads/Publications/AIStats2009-Ho...],
[Conference or Workshop Item]

Hachiya, Hirotaka and Akiyama, Takayuki and Sugiyama, Masashi and Peters, Jan (2009):
Efficient Data Reuse in Value Function Approximation.
In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, IEEE, In: Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning., Nashville, TN, USA, 30 March-2 April 2009, DOI: 10.1109/ADPRL.2009.4927519,
[Online-Edition: http://robot-learning.de/uploads/Publications/ADPRL2009-Hach...],
[Conference or Workshop Item]

Hachiya, H. and Peters, J. and Sugiyama, M. (2009):
Efficient Sample Reuse in EM-based Policy Search.
In: Proceedings of the 16th European Conference on Machine Learning (ECML), In: Acceptance Rate: 24%, [Conference or Workshop Item]

Hoffman, M. and de Freitas, N. and Doucet, A. and Peters, J. (2009):
An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward.
In: Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats), [Conference or Workshop Item]

Hachiya, H. and Akiyama, T. and Sugiyama, M. and Peters, J. (2009):
Efficient Data Reuse in Value Function Approximation.
In: Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, [Conference or Workshop Item]

Hachiya, H. and Akiyama, T. and Sugiyama, M. and Peters, J. (2008):
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
In: Conference on Artificial Intelligence (AAAI 2008), Chicago, Illinois, July 13–17, 2008, [Online-Edition: http://www-clmc.usc.edu/publications/H/hachiya-AAAI08.pdf],
[Conference or Workshop Item]

Hachiya, H. and Akiyama, T. and Sugiyama, M. and Peters, J. (2008):
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
In: Proceedings of the Twenty-Third National Conference on Artificial Intelligence (AAAI), In: Acceptance Rate: 24%, [Conference or Workshop Item]

I

Ivaldi, S. and Lefort, S. and Peters, J. and Chetouani, M. and Provasi, J. and Zibetti, E. (2017):
Towards Engagement Models that Consider Individual Factors in HRI: On the Relation of Extroversion and Negative Attitude Towards Robots to Gaze and Speech During a Human-Robot Assembly Task.
In: International Journal of Social Robotics, pp. 63-86, [Article]

Ivaldi, S. and Peters, J. and Padois, V. and Nori, F. (2014):
Tools for simulating humanoid robot dynamics: a survey based on user feedback.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Site/EditPublication/...],
[Conference or Workshop Item]

K

Koc, Okan (2018):
Optimal Trajectory Generation and Learning Control for Robot Table Tennis.
Darmstadt, Technische Universität, [Online-Edition: https://tuprints.ulb.tu-darmstadt.de/8948],
[Ph.D. Thesis]

Kroemer, Oliver and Leischnig, Simon and Luettgen, Stefan and Peters, Jan (2018):
A Kernel-based Approach to Learning Contact Distributions for Robot Manipulation Tasks.
In: Autonomous Robots, pp. 581-600, 42, (3), DOI: 10.1007/s10514-017-9651-z,
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Alumni/OliverKroemer...],
[Article]

Koert, D. and Maeda, G. and Neumann, G. and Peters, J. (2018):
Learning Coupled Forward-Inverse Models with Combined Prediction Errors.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DorotheaKoert/c...],
[Conference or Workshop Item]

Koc, O. and Maeda, G. and Peters, J. (2018):
Online optimal trajectory generation for robot table tennis.
In: Robotics and Autonomous Systems, pp. 121-137, 105, ISSN 0921-8890,
[Online-Edition: https://www.sciencedirect.com/science/article/pii/S092188901...],
[Article]

Kupcsik, A. G. and Deisenroth, M. P. and Peters, J. and Ai Poh, L. and Vadakkepat, V. and Neumann, G. (2017):
Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills.
In: Artificial Intelligence, pp. 415-439, 247, ISSN 0004-3702,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Article]

Kroemer, O. and Peters, J. (2017):
A Comparison of Autoregressive Hidden Markov Models for Multi-Modal Manipulations with Variable Masses.
In: Robotics and Automation, and IEEE Robotics and Automation Letters (RA-L)",, pp. 1101 - 1108, (2), [Article]

Kollegger, G. and Reinhardt, N. and Ewerton, M. and Peters, J. and Wiemeyer, J. (2017):
Die Bedeutung der Beobachtungsperspektive beim Bewegungslernen von Mensch-Roboter-Dyaden.
In: DVS Sportmotorik 2017, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/MarcoEwerton/ko...],
[Conference or Workshop Item]

Kollegger, Gerrit and Ewerton, Marco and Wiemeyer, Josef and Peters, Jan (2017):
BIMROB – Bidirectional Interaction between human and robot for the learning of movements – Robot trains human – Human trains robot.
In: 23. Sportwissenschaftlicher Hochschultag der dvs, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/MarcoEwerton/ko...],
[Conference or Workshop Item]

Kollegger, G. and Ewerton, M. and Wiemeyer, J. and Peters, J. (2017):
BIMROB — Bidirectional Interaction Between Human and Robot for the Learning of Movements.
In: Proceedings of the International Symposium on Experimental Robotics (ISER)",, springer international publishing, pp. 151-163, [Online-Edition: https://doi.org/10.1007/978-3-319-67846-7_15],
[Book Section]

Kollegger, Wiemeyer (2017):
BIMROB - Bidirectional Interaction between human and robot for the learning of movements - Robot trains human - Human trains robot.
czwalina-feldhaus, In: Inovation & Technologie im Sport - 23. Sportwissenschaftlicher Hochschultag der deutschen Vereinigung für Sportwissenschaft, [Conference or Workshop Item]

Kohlschuetter, J. and Peters, J. and Rueckert, E. (2016):
Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities.
In: Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Koc, Okan and Peters, Jan and Maeda, Guilherme (2016):
A New Trajectory Generation Framework in Robotic Table Tennis.
In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Daejeon, South Korea, 9-14 Oct. 2016, DOI: 10.1109/IROS.2016.7759552,
[Conference or Workshop Item]

Koert, D. and Maeda, G. J. and Lioutikov, R. and Neumann, G. and Peters, J. (2016):
Demonstration Based Trajectory Optimization for Generalizable Robot Motions.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DorotheaKoert/D...],
[Conference or Workshop Item]

Kollegger, G. and Ewerton, M. and Peters, J. and Wiemeyer, J. (2016):
Bidirektionale Interaktion zwischen Mensch und Roboter beim Bewegungslernen (BIMROB).
In: 11. Symposium der DVS Sportinformatik, [Online-Edition: http://www.sportinformatik2016.ovgu.de/Tagung/Abstracts.html],
[Conference or Workshop Item]

Kroemer, O. and Daniel, C. and Neumann, G. and van Hoof, H. and Peters, J. (2015):
Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Online-Edition: http://],
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Koc, O. and Maeda, G. and Neumann, G. and Peters, J. (2015):
Optimizing Robot Striking Movement Primitives with Iterative Learning Control.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), In: 5th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2015, Seoul, 3.-5.11.2015, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=736...],
[Conference or Workshop Item]

Kamthe, S. and Peters, J. and Deisenroth, M. (2014):
Multi-modal filtering for non-linear estimation.
In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), [Online-Edition: https://spiral.imperial.ac.uk:8443/bitstream/10044/1/12921/2...],
[Conference or Workshop Item]

Kroemer, O. and Peters, J. (2014):
Predicting Object Interactions from Contact Distributions.
In: IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Chicago, IL, 14.-18.09.2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/KroemerI...],
[Conference or Workshop Item]

Kroemer, O. and van Hoof, H. and Neumann, G. and Peters, J. (2014):
Learning to Predict Phases of Manipulation Tasks as Hidden States.
In: Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=690...],
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Kober, J. and Bagnell, D. and Peters, J. (2013):
Reinforcement Learning in Robotics: A Survey.
In: International Journal of Robotics Research (IJRR)",, pp. 1238-1274, (11), [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Kober_IJ...],
[Article]

Kupcsik, A. G. and Deisenroth, M. P. and Peters, J. and Neumann, G. (2013):
Data-Efficient Generalization of Robot Skills with Contextual Policy Search.
In: Proceedings of the National Conference on Artificial Intelligence (AAAI), Bellevue, Washington, USA, 14–18 July 2013, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Kroemer, O. and Ben Amor, H. and Ewerton, M. and Peters, J. (2012):
Point Cloud Completion Using Extrusions.
In: 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Kroem...],
[Conference or Workshop Item]

Kober, Jens (2012):
Learning Motor Skills: From Algorithms to Robot Experiments.
TU Darmstadt, [Online-Edition: urn:nbn:de:tuda-tuprints-29927],
[Ph.D. Thesis]

Kroemer, O. and Ugur, E. and Oztop, E. and Peters, J. (2012):
A Kernel-based Approach to Direct Action Perception.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), St. Paul, Minnesota, USA, May 14-18, 2012, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=622...],
[Conference or Workshop Item]

Kober, Jens and Wilhelm, Andreas and Oztop, Erhan and Peters, Jan (2012):
Reinforcement Learning to Adjust Parametrized Motor Primitives to New Situations.
In: Autonomous Robots, springer us, pp. 361-379, 33, (4), DOI: 10.1007/s10514-012-9290-3,
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[Article]

Kober, Jens and Muelling, Katharina and Peters, Jan (2012):
Learning Throwing and Catching Skills : Video Track.
In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, Vilamoura, Portugal, 7-12 Oct. 2012, DOI: 10.1109/IROS.2012.6386267,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Kober, J. and Peters, J. (2011):
Policy Search for Motor Primitives in Robotics.
In: Machine Learning, pp. 171-203, (84(1)), [Article]

Kober, J. and Oztop, E. and Peters, J. (2011):
Reinforcement Learning to adjust Robot Movements to New Situations.
In: Proceedings of the International Joint Conference on Artificial Intelligence, In: Acceptance Rate: 17%, [Conference or Workshop Item]

Kober, J. and Peters, J. (2011):
Policy Search for Motor Primitives in Robotics.
In: Neural Information Processing Systems 2008, 2008, [Online-Edition: https://papers.nips.cc/paper/3545-policy-search-for-motor-pr...],
[Conference or Workshop Item]

Kroemer, O. and Peters, J. (2011):
A Flexible Hybrid Framework for Modeling Complex Manipulation Tasks.
In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, 13.-19. Mai 2011, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=598...],
[Conference or Workshop Item]

Kroemer, O. and Peters, J. (2011):
Active Exploration for Robot Parameter Selection in Episodic Reinforcement Learning.
In: Proceedings of the 2011 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL), DOI: 10.1109/ADPRL.2011.5967378,
[Online-Edition: https://www.researchgate.net/publication/216053794_Active_Ex...],
[Conference or Workshop Item]

Kroemer, Oliver and Lampert, Christoph H. and Peters, Jan (2011):
Learning Dynamic Tactile Sensing with Robust Vision-based Training.
In: IEEE TRANSACTIONS ON ROBOTICS, pp. 545-557, 27, (3), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Kroem...],
[Article]

Kroemer, O. and Peters, J. (2011):
A Non-Parametric Approach to Dynamic Programming.
mit press, In: Neural Information Processing Systems 25 (NIPS 2011), Granada, Spain. 2011, 12-14 December 2011, [Online-Edition: https://papers.nips.cc/paper/4182-a-non-parametric-approach-...],
[Conference or Workshop Item]

Kober, J. and Peters, J. (2011):
Learning Elementary Movements Jointly with a Higher Level Task.
In: IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), San Francisco, California, September 25-30, 2011, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Kober...],
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Kober, J. and Oztop, E. and Peters, J. (2011):
Reinforcement Learning to adjust Robot Movements to New Situations.
In: Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI11), Barcelona, Catalonia, Spain, July 16–22, 2011, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Kober...],
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Krömer, O. and Lampert, C. H. and Peters, J. (2011):
Learning Dynamic Tactile Sensing with Robust Vision-based Training.
In: IEEE Transaction on Robotics, pp. 1552-3098, (27(3)), [Article]

Krömer, O. and Peters, J. (2011):
A Non-Parametric Approach to Dynamic Programming.
In: Advances in Neural Information Processing Systems 25 (NIPS 2011), Cambridge, MA: MIT Press, In: Full Plenary Presentation � Acceptance Rate: 1.4%, [Conference or Workshop Item]

Kober, J. and Peters, J. (2011):
Learning Elementary Movements Jointly with a Higher Level Task.
In: IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), [Conference or Workshop Item]

Kroemer, O. and Peters, J. (2011):
A Flexible Hybrid Framework for Modeling Complex Manipulation Tasks.
In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Krömer, O. and Peters, J. (2011):
Active Exploration for Robot Parameter Selection in Episodic Reinforcement Learning.
In: Proceedings of the 2011 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL), [Conference or Workshop Item]

Krömer, O. and Detry, R. and Piater, J. and Peters, J. (2010):
Generalizing Demonstrated Actions in Manipulation Tasks.
In: Proceedings of IROS 2010 Workshop on Grasp Planning and Task Learning by Imitation, October 18, 2010, Taipeh, Taiwan, [Conference or Workshop Item]

Kober, J. and Oztop, E. and Peters, J. (2010):
Reinforcement Learning to adjust Robot Movements to New Situations.
In: Robotics: Science and Systems (R:SS), In: Acceptance Rate: 16.7%, [Conference or Workshop Item]

Kober, J. and Oztop, E. and Peters, J. (2010):
Reinforcement Learning to adjust Robot Movements to New Situations.
In: Robotics: Science and Systems (R:SS), Zaragoza, SpainJune27-30, 2010, June 27-30, 2010, [Online-Edition: http://www.roboticsproceedings.org/rss06/p05.pdf],
[Conference or Workshop Item]

Kroemer, O. and Detry, R. and Piater, J. and Peters, J. (2010):
Adapting Preshaped Grasping Movements using Vision Descriptors.
In: From Animals to Animats 11, International Conference on the Simulation of Adaptive Behavior (SAB), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/SAB20...],
[Conference or Workshop Item]

Kroemer, Oliver and Detry, Renaud and Piater, Justus and Peters, Jan (2010):
Grasping with Vision Descriptors and Motor Primitives.
In: Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics, In: 7th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2010), Funchal, Madeira, Portugal, June 15-18, 2010, 2, DOI: 10.5220/0002938100470054,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/ICINC...],
[Conference or Workshop Item]

Kober, J. and Peters, J. (2010):
Imitation and Reinforcement Learning - Practical Algorithms for Motor Primitive Learning in Robotics.
In: IEEE Robotics & Automation Magazine, IEEE, pp. 55-62, 17, (2), ISSN Print ISSN: 1070-9932 Electronic ISSN: 1558-223X,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/kober...],
[Article]

Kober, Jens and Mohler, Betty and Peters, Jan (2010):
Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling.
In: From Motor Learning to Interaction Learning in Robots, Berlin, Heidelberg, Springer, pp. 209-225, DOI: 10.1007/978-3-642-05181-4_10,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Imita...],
[Book Section]

Kober, J. and Muelling, K. and Kroemer, O. and Lampert, C. H. and Schoelkopf, B. and Peters, J. (2010):
Movement Templates for Learning of Hitting and Batting.
In: IEEE International Conference on Robotics and Automation (ICRA), Anchorage, AK, USA, May 2010, DOI: 10.1109/ROBOT.2010.5509672,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/ICRA2...],
[Conference or Workshop Item]

Krömer, O. and Detry, R. and Piater, J. and Peters, J. (2010):
Grasping with Vision Descriptors and Motor Primitives.
In: Proceedings of the International Conference on Informatics in Control, Automation and Robotics (ICINCO), In: Full paper acceptance rate: 8%. Winner of Best Paper Award, [Conference or Workshop Item]

Kober, J. and Peters, J. (2010):
Imitation and Reinforcement Learning � Practical Algorithms for Motor Primitive Learning in Robotics.
In: IEEE Robotics and Automation Magazine, 17(2), pp. 55-62, [Article]

Krömer, O. and Detry, R. and Piater, J. and Peters, J. (2010):
Combining Active Learning and Reactive Control for Robot Grasping.
In: Robotics and Autonomous Systems, pp. 1105-1116, 58, (9), DOI: 10.1016/j.robot.2010.06.001,
[Article]

Kober, J. and Mülling, K. and Krömer, O. and Lampert, C. H. and Schölkopf, B. and Peters, J. (2010):
Movement Templates for Learning of Hitting and Batting.
In: IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Krömer, O. and Detry, R. and Piater, J. and Peters, J. (2010):
Adapting Preshaped Grasping Movements using Vision Descriptors.
In: From Animals to Animats 11 � International Conference on the Simulation of Adaptive Behavior (SAB), [Conference or Workshop Item]

Kober, J. and Peters, J. (2009):
Policy Search for Motor Primitives.
In: Künstliche Intelligenz, Projektbericht, 3/09, pp. 38-40, [Article]

Kober, J. and Peters, J. (2009):
Policy Search for Motor Primitives in Robotics.
In: Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press, In: Full Plenary Presentation � Acceptance Rate: 2.7%, [Conference or Workshop Item]

Kober, Jens and Peters, Jan R. (2009):
Policy Search for Motor Primitives in Robotics.
In: Advances in neural information processing systems 21 : [proceedings], Red Hook, NY, Curran, In: 22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS), Vancouver, Canada, 2008.12.08-10, [Online-Edition: http://www-clmc.usc.edu/publications/K/kober_NIPS2008.pdf],
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Kober, J. and Peters, J. (2009):
Learning Motor Primitives for Robotics.
In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Kobe, Japan, May 12-17, 2009, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5152577],
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Kober, J. and Peters, J. (2009):
Learning new basic Movements for Robotics.
In: Proceedings of Autonome Mobile Systeme (AMS 2009), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/paper...],
[Conference or Workshop Item]

Kroemer, O. and Detry, R. and Piater, J. and Peters, J. (2009):
Active Learning Using Mean Shift Optimization for Robot Grasping.
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009), St. Louis, USA, 10-15 Oct. 2009, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=535...],
[Conference or Workshop Item]

Kober, J. and Peters, J. (2009):
Learning Motor Primitives for Robotics.
In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Krömer, Detry and Peters, J. (2009):
Active Learning Using Mean Shift Optimization for Robot Grasping.
In: Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Kober, J. and Peters, J. (2008):
Reinforcement Learning of Perceptual Coupling for Motor Primitives.
In: Proceedings of the European Workshop on Reinforcement Learning (EWRL), [Conference or Workshop Item]

Kober, J. (2008):
Reinforcement Learning for Motor Primitives.
TU Darmstadt, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Diplo...],
[Ph.D. Thesis]

Kober, J. and Peters, J. (2008):
Reinforcement Learning of Perceptual Coupling for Motor Primitives.
In: Proceedings of the European Workshop on Reinforcement Learning (EWRL), [Conference or Workshop Item]

Kober, J. and Mohler, B. and Peters, J. (2008):
Learning Perceptual Coupling for Motor Primitives.
In: International Conference on Intelligent Robot Systems (IROS), [Online-Edition: http://www-clmc.usc.edu/publications/K/kober_IROS2008.pdf],
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L

Lioutikov, Rudolf (2018):
Parsing Motion and Composing Behavior for Semi-Autonomous Manipulation.
Darmstadt, Technische Universität, [Online-Edition: https://tuprints.ulb.tu-darmstadt.de/9114],
[Ph.D. Thesis]

Lioutikov, R. and Maeda, G. and Veiga, F. F. and Kersting, K. and Peters, J. (2018):
Inducing Probabilistic Context-Free Grammars for the Sequencing of Robot Movement Primitives.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), In: 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, Australia, May 21-26, 2018, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/RudolfLioutikov...],
[Conference or Workshop Item]

Lioutikov, Rudolf and Neumann, Gerhard and Maeda, Guilherme and Peters, Jan (2017):
Learning Movement Primitive Libraries through Probabilistic Segmentation.
In: International Journal of Robotics Research, pp. 879-894, 36, (8), DOI: 10.1177/0278364917713116,
[Article]

Lopes, M. and Peters, J. and Piater, J. and Toussaint, M. and Baisero, A. and Busch, B. and Erkent, O. and Kroemer, O. and Lioutikov, R. and Maeda, G. and Mollard, Y. and Munzer, T. and Shukla, D. (2015):
Semi-Autonomous 3rd-Hand Robot.
In: Workshop on Cognitive Robotics in Future Manufacturing Scenarios, European Robotics Forum, Vienna, Austria, [Online-Edition: https://iis.uibk.ac.at/public/papers/Lopes-2015-CogRobFoF.pd...],
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Lioutikov, R. and Neumann, G. and Maeda, G. J. and Peters, J. (2015):
Probabilistic Segmentation Applied to an Assembly Task.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Leischnig, S. and Luettgen, S. and Kroemer, O. and Peters, J. (2015):
A Comparison of Contact Distribution Representations for Learning to Predict Object Interactions.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Luck, Kevin Sebastian (2014):
Latent Space Reinforcement Learning.
Darmstadt, TU Darmstadt, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/3832],
[Bachelor Thesis]

Luck, K. S. and Neumann, G. and Berger, E. and Peters, J. and Ben Amor, H. (2014):
Latent Space Policy Search for Robotics.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Chicago, IL, 14-18 September 2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Luck_IRO...],
[Conference or Workshop Item]

Lioutikov, R. and Kroemer, O. and Peters, J. and Maeda, G. (2014):
Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot.
In: Proceedings of the 13th International Conference on Intelligent Autonomous Systems (IAS), [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Member/PubRudolfLiout...],
[Conference or Workshop Item]

Lioutikov, R. and Paraschos, A. and Peters, J. and Neumann, G. (2014):
Generalizing Movements with Information Theoretic Stochastic Optimal Control.
In: Journal of Aerospace Information Systems, pp. 579-595, 11, (9), [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Site/EditPublication/...],
[Article]

Lioutikov, R. and Paraschos, A. and Peters, J. and Neumann, G. (2014):
Sample-Based Information-Theoretic Stochastic Optimal Control.
In: IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, May 31 - June 7, 2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Team/RudolfLioutikov/...],
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Lampert, C. H. and Peters, J. (2012):
Real-Time Detection of Colored Objects In Multiple Camera Streams With Off-the-Shelf Hardware Components.
In: Journal of Real-Time Image Processing, pp. 31-41, (1), [Online-Edition: http://robot-learning.de/uploads/Publications/rtblob-jrtip20...],
[Article]

Lampert, C. H. and Peters, J. (2011):
Real-Time Detection of Colored Objects in Multiple Camera Streams with Off-the-Shelf Hardware Components.
In: Journal of Real-Time Image Processing, [Article]

Lampariello, R. and Nguyen-Tuong, D. and Castellini, C. and Hirzinger, G. and Peters, J. (2011):
Energy-optimal robot catching in real-time.
In: IEEE International Conference on Robotics and Automation (ICRA), [Online-Edition: http://robot-learning.de/uploads/Publications/Lampariello_IC...],
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Lampariello, R. and Nguyen-Tuong, D. and Castellini, C. and Hirzinger, G. and Peters, J. (2011):
Energy-optimal collision-free catching of flying targets with nonlinear optimization and learning.
In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Lampert, C. H. and Kroemer, O. (2010):
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning.
In: Computer Vision - ECCV 2010, Berlin, Springer, In: 11th European Conference on Computer Vision (ECCV 2010), In: Lecture notes in computer science, 6312, DOI: 10.1007/978-3-642-15552-9_41,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/lampe...],
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Lampert, C. H. and Peters, J. (2009):
A High-Speed Object Tracker from Off-the-Shelf Components.
In: First IEEE Workshop on Computer Vision for Humanoid Robots in Real Environments at ICCV 2009, [Conference or Workshop Item]

Lampert, C. H. and Peters, J. (2009):
Active Structured Learning for High-Speed Object Detection.
In: Proceedings of the DAGM (Pattern Recognition), DOI: 10.1007/978-3-642-03798-6_23,
[Online-Edition: http://robot-learning.de/uploads/Publications/DAGM2009-Lampe...],
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Lampert, C. H. and Peters, J. (2009):
Active Structured Learning for High-Speed Object Detection.
In: Proceedings of the DAGM (Pattern Recognition), [Conference or Workshop Item]

Lesperance, Y. and Lakemeyer, G. and Peters, J. and Pirri, F. (2008):
Proceedings of the 6th International Cognitive Robotics Workshop (CogRob 2008).
Patras, Greece, Patras University Press, ISBN 978-960-6843-09-9,
[Book]

Lesperance, Y. and Lakemeyer, G. and Peters, J. and Pirri, F. (2008):
Proceedings of the 6th International Cognitive Robotics Workshop (CogRob 2008).
July 21-22, 2008, Patras, Greece, ISBN 978-960-6843-09-9, [Book]

M

Manschitz, Simon (2018):
Learning Sequential Skills for Robot Manipulation Tasks.
Darmstadt, Technische Universität, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/7185],
[Ph.D. Thesis]

Manschitz, S. and Gienger, M. and Kober, J. and Peters, J. (2018):
Mixture of Attractors: A novel Movement Primitive Representation for Learning Motor Skills from Demonstrations.
In: IEEE Robotics and Automation Letters, pp. 926-933, 3, (2), ISSN 2377-3766, 2377-3774 (elektronisch),
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/SimonManschitz/...],
[Article]

Muratore, F. and Treede, F. and Gienger, M. and Peters, J. (2018):
Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment.
In: Conference on Robot Learning (CoRL), [Online-Edition: https://www.is.mpg.de/publications/murtregiepet18],
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Maeda, G. and Neumann, G. and Ewerton, M. and Lioutikov, R. and Kroemer, O. and Peters, J. (2017):
Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks.
In: Autonomous Robots, pp. 593-612, 41, (3), ISSN 0929-5593,
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/PubGJMaeda/gjm_...],
[Article]

Maeda, G. and Ewerton, M. and Neumann, G. and Lioutikov, R. and Peters, J. (2017):
Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration.
In: International Journal of Robotics Research, pp. 1579-1594, 36, (13-14), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/PubGJMaeda/phas...],
[Article]

Maeda, G. and Ewerton, M. and Osa, T. and Busch, B. and Peters, J. (2017):
Active Incremental Learning of Robot Movement Primitives.
In: Proceedings of the Conference on Robot Learning (CoRL), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/PubGJMaeda/maed...],
[Conference or Workshop Item]

Maeda, Guilherme and Ewerton, Marco and Koert, Dorothea and Peters, Jan (2016):
Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills.
In: IEEE ROBOTICS AND AUTOMATION LETTERS, pp. 784-791, 1, (2), [Online-Edition: http:/10.1109/LRA.2016.2525038],
[Article]

Modugno, V. and Neumann, G. and Rueckert, E. and Oriolo, G. and Peters, J. and Ivaldi, S. (2016):
Learning soft task priorities for control of redundant robots.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Manschitz, S. and Gienger, M. and Kober, J. and Peters, J. (2016):
Probabilistic Decomposition of Sequential Force Interaction Tasks into Movement Primitives.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/SimonManschitz/...],
[Conference or Workshop Item]

Maeda, G. and Maloo, A. and Ewerton, M. and Lioutikov, R. and Peters, J. (2016):
Proactive Human-Robot Collaboration with Interaction Primitives.
In: International Workshop on Human-Friendly Robotics (HFR), Genoa, Italy, [Conference or Workshop Item]

Maeda, G. and Maloo, A. and Ewerton, M. and Lioutikov, R. and Peters, J. (2016):
Anticipative Interaction Primitives for Human-Robot Collaboration.
In: AAAI Fall Symposium Series. Shared Autonomy in Research and Practice, Arlington, VA, USA, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/PubGJMaeda/maed...],
[Conference or Workshop Item]

Mariti, C. and Muscolo, G. G. and Peters, Jan and Puig, D. and Recchiuto, C. T. and Sighieri, C. and Solanas, A. and Stryk, Oskar von (2015):
Developing biorobotics for veterinary research into cat movements.
In: Journal of Veterinary Behavior: Clinical Applications and Research, pp. 248-254, 10, (3), [Online-Edition: https://www.sciencedirect.com/science/article/pii/S155878781...],
[Article]

Manschitz, S. and Kober, J. and Gienger, M. and Peters, J. (2015):
Probabilistic Progress Prediction and Sequencing of Concurrent Movement Primitives.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=735...],
[Conference or Workshop Item]

Manschitz, S. and Kober, J. and Gienger, M. and Peters, J. (2015):
Learning Movement Primitive Attractor Goals and Sequential Skills from Kinesthetic Demonstrations.
In: Robotics and Autonomous Systems, pp. 97-107, 74, [Article]

Maeda, G. and Neumann, G. and Ewerton, M. and Lioutikov, R. and Peters, J. (2015):
A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation.
In: Proceedings of the International Symposium of Robotics Research (ISRR), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/PubGJMaeda/ISRR...],
[Conference or Workshop Item]

Merfels, Christian (2014):
Large-scale probabilistic feature mapping and tracking for autonomous driving.
TU Darmstadt, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/4112],
[Master Thesis]

Manschitz, S. and Kober, J. and Gienger, M. and Peters, J. (2014):
Learning to Unscrew a Light Bulb from Demonstrations.
In: Proceedings for the joint conference of 45th International Symposium on Robotics and 8th German Conference on Robotics 2 - 3 June 2014, Munich, Germany 2014, 807 Seiten, Papiertasche, CD-Rom ISBN 97, In: Proceedings of ISR/ROBOTIK 2014, München, 2-3 June 2014, [Conference or Workshop Item]

Maeda, G. J. and Ewerton, M. and Lioutikov, R. and Amor, H. B. and Peters, J. and Neumann, G. (2014):
Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Team/PubGJMaeda/maeda...],
[Conference or Workshop Item]

Manschitz, S. and Kober, J. and Gienger, M. and Peters, J. (2014):
Learning to Sequence Movement Primitives from Demonstrations.
In: IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Chicago, IL, September 2014, [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Site/EditPublication/...],
[Conference or Workshop Item]

Muelling, K. and Boularias, A. and Schoelkopf, B. and Peters, J. (2014):
Learning Strategies in Table Tennis using Inverse Reinforcement Learning.
In: Biological Cybernetics, pp. 603-619, (5), [Online-Edition: https://link.springer.com/article/10.1007/s00422-014-0599-1],
[Article]

Meyer, T. and Peters, J. and Zander, T. O. and Schoelkopf, B. and Grosse-Wentrup, M. (2014):
Predicting Motor Learning Performance from Electroencephalographic Data.
In: Journal of Neuroengineering and Rehabilitation, 11, (1), [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Meyer_JN...],
[Article]

Muelling, Katharina (2013):
Modeling and Learning of Complex Motor Tasks: A Case Study with Robot Table Tennis.
TU Darmstadt, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/3557],
[Ph.D. Thesis]

Muelling, K. and Kober, J. and Kroemer, O. and Peters, J. (2013):
Learning to Select and Generalize Striking Movements in Robot Table Tennis.
In: International Journal of Robotics Research, https://doi.org/10.1177/0278364912472380, pp. 263-279, (3), [Online-Edition: https://www.aaai.org/ocs/index.php/FSS/FSS12/paper/viewFile/...],
[Article]

Meyer, T. and Peters, J. and Broetz, D. and Zander, T. and Schoelkopf, B. and Soekadar, S. and Grosse-Wentrup, M. (2012):
A Brain-Robot Interface for Studying Motor Learning after Stroke.
In: Proceedings of the International Conference on Robot Systems (IROS), Vilamoura, Algarve [Portugal], October 7-12, 2012, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=638...],
[Conference or Workshop Item]

Muelling, K. and Kober, J. and Kroemer, O. and Peters, J. (2012):
Learning to Select and Generalize Striking Movements in Robot Table Tennis.
In: Proceedings of the AAAI 2012 Fall Symposium on Robots that Learn Interactively from Human Teachers, [Online-Edition: http://www.cs.utexas.edu/~bradknox/AAAIFSS-RLIHT12-papers/aa...],
[Conference or Workshop Item]

Meyer, T. and Peters, J. and Broetz, D. and Zander, T. and Schoelkopf, B. and Soekadar, S. and Grosse-Wentrup, M. (2012):
Investigating the Neural Basis for Stroke Rehabilitation by Brain-Computer Interfaces.
In: International Conference on Neurorehabilitation, [Conference or Workshop Item]

Mülling, K. and Kober, J. and Peters, J. (2011):
A Biomimetic Approach to Robot Table Tennis.
In: Adaptive Behavior, 19(5), pp.359-376, [Article]

Muelling, Katharina and Kober, Jens and Peters, Jan (2011):
A Biomimetic Approach to Robot Table Tennis.
In: Adaptive Behavior, Sage, pp. 359-376, 19, (5), DOI: 10.1177/1059712311419378,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Muell...],
[Article]

Mülling, K. and Kober, J. and Peters, J. (2010):
A Biomimetic Approach to Robot Table Tennis.
In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Muelling, Katharina and Kober, Jens and Peters, Jan (2010):
Simulating Human Table Tennis with a Biomimetic Robot Setup.
In: From Animals to Animats 11 : Proceedings, In: From Animals to Animats 11 : 11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris-Clos Lucé, France, August 25-28, 2010, In: Lecture notes in computer science, 6226, DOI: https://doi.org/10.1007,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/SAB20...],
[Conference or Workshop Item]

Morimura, Tetsuro and Uchibe, Eiji and Yoshimoto, Junichiro and Peters, Jan and Doya, Kenji (2010):
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning.
In: Neural Computation, MIT Press, pp. 442-376, 22, (2), [Online-Edition: http://www-clmc.usc.edu/publications/M/Morimura_NC_2010.pdf],
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Muelling, Katharina and Kober, Jens and Peters, Jan (2010):
A Biomimetic Approach to Robot Table Tennis.
In: IEEE/RSJ International Conference on Intelligent Robots and Systems : Conference proceedings, IEEE, In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, 18-22 Oct. 2010, DOI: 10.1109/IROS.2010.5650305,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Muell...],
[Conference or Workshop Item]

Muelling, Katharina and Kober, Jens and Peters, Jan (2010):
Learning Table Tennis with a Mixture of Motor Primitives.
In: 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids), IEEE, In: 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2010), Nashville, TN, USA, 6-8 Dec. 2010, DOI: 10.1109/ICHR.2010.5686298,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Morimura, T. and Uchibe, E. and Yoshimoto, J. and Peters, J. and Doya, K. (2010):
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning.
In: Neural Computation, 22(2), pp.342-376, [Article]

Mülling, K. and Kober, J. and Peters, J. (2010):
Learning Table Tennis with a Mixture of Motor Primitives.
In: 2010 IEEE-RAS International Conference on Humanoid Robots, December 6-8, 2010, Nashville, TN, USA, [Conference or Workshop Item]

Mülling, K. and Kober, J. and Peters, J. (2010):
Simulating Human Table Tennis with a Biomimetic Robot Setup.
In: From Animals to Animats 11 � International Conference on the Simulation of Adaptive Behavior (SAB), [Conference or Workshop Item]

Muelling, K. and Peters, J. (2009):
A computational model of human table tennis for robot application.
In: Autonome Mobile Systeme 2009 (AMS 2009), Karlsruhe, 3.-4. Dezember 2009, [Online-Edition: http://robot-learning.de/uploads/Publications/paper_10.pdf],
[Conference or Workshop Item]

Mülling, K. and Peters, J. (2009):
A computational model of human table tennis for robot application.
In: Proceedings of Autonome Mobile Systeme (AMS), [Conference or Workshop Item]

Mohajerian, P. and Peters, J. and Ijspeert, A. and Schaal, S. (2003):
A Unifying Computational Framework for Optimization and Dynamic Systems Approaches to Motor Control.
In: Proceedings of the 10th Joint Symposium on Neural Computation, [Conference or Workshop Item]

Mohajerian, P. and Peters, J. and Ijspeert, A. and Schaal, S. (2003):
A Unifying Computational Framework for Optimization and Dynamic Systems Approaches to Motor Control.
In: Neural Control of Movement Conference, Santa Barbara, CA, April 22-26, 2003, [Conference or Workshop Item]

Mohajerian, P. and Peters, J. and Ijspeert, A. and Schaal, S. (2003):
A unifying computational framework for optimization and dynamic systems approaches to motor control.
In: Proceedings of the 10th Joint Symposium on Neural Computation (JSNC 2003), [Online-Edition: http://www-clmc.usc.edu/M/mohajerian-JSNC2003.pdf],
[Conference or Workshop Item]

Mohajerian, P. and Peters, J. and Ijspeert, A. and Schaal, S. (2003):
A unifying computational framework for optimization and dynamic systems approaches to motor control.
In: Proceedings of the 10th Joint Symposium on Neural Computation (JSNC 2003), [Online-Edition: http://www-clmc.usc.edu/M/mohajerian-JSNC2003.pdf],
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Neumann, G. and Daniel, C. and Paraschos, A. and Kupcsik, A. and Peters, J. (2014):
Learning Modular Policies for Robotics.
In: Frontiers in Computational Neuroscience, DOI: 10.3389/fncom.2014.00062,
[Online-Edition: http://www.frontiersin.org/Journal/Abstract.aspx?s=237&name=...],
[Article]

Nori, F. and Peters, J. and Padois, V. and Babic, J. and Mistry, M. and Ivaldi, S. (2014):
Whole-body motion in humans and humanoids.
In: Proceedings of the Workshop on New Research Frontiers for Intelligent Autonomous Systems (NRF-IAS), In: Proceedings of the Workshop on New Research Frontiers for Intelligent Autonomous Systems (NRF-IAS), [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Site/EditPublication/...],
[Conference or Workshop Item]

Neumann, G. and Kupcsik, A. G. and Deisenroth, M. P. and Peters, J. (2013):
Information-Theoretic Motor Skill Learning.
In: AAAI Workshop - Technical Report, AAAI Press, In: 2013 AAAI Workshop, Bellevue, WA, USA, WS-13-10, [Conference or Workshop Item]

Nguyen-Tuong, Duy and Peters, Jan (2012):
Online Kernel-based Learning for Task-Space Tracking Robot Control.
In: IEEE Transactions on Neural Networks and Learning Systems, pp. 1417-1425, 23, (9), DOI: 10.1109/TNNLS.2012.2201261,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Article]

Nguyen-Tuong, D. and Peters, J. (2011):
Incremental Sparsication for Real-time Online Model Learning.
In: Neurocomputing, 74(11), pp.1859-1867, [Article]

Nguyen-Tuong, D. and Peters, J. (2011):
Incremental Sparsification for Real-time Online Model Learning.
In: Neurocomputing, pp. 1859-1867, (11), [Online-Edition: http://robot-learning.de/uploads/Publications/Nguyen_NEURO_2...],
[Article]

Nguyen-Tuong, D. and Peters, J. (2011):
Learning Task-Space Tracking Control with Kernels.
In: IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), San Francisco, California, September 25-30, 2011, [Online-Edition: http://robot-learning.de/uploads/Publications/Nguyen_IROS_20...],
[Conference or Workshop Item]

Nguyen-Tuong, D. and Peters, J. (2011):
Model Learning in Robotics: a Survey.
In: Cognitive Processing, pp. 319-340, 12, (4), DOI: 10.1007/s10339-011-0404-1,
[Online-Edition: http://robot-learning.de/uploads/Publications/Nguyen_CP_2011...],
[Article]

Nguyen-Tuong, D. and Peters, J. (2011):
Model Learning in Robotics: a Survey.
In: Cognitive Processing, pp. 319-340, (12(4)), [Article]

Nguyen-Tuong, D. and Peters, J. (2011):
Learning Task-Space Tracking Control with Kernels.
In: IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), [Conference or Workshop Item]

Nguyen-Tuong, D. and Peters, J. (2010):
Incremental Sparsification for Real-time Online Model Learning.
In: Proceedings of Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), [Online-Edition: http://robot-learning.de/uploads/Publications/AISTATS2010-Ng...],
[Conference or Workshop Item]

Nguyen-Tuong, Duy and Seeger, Matthias and Peters, Jan (2010):
Real-Time Local GP Model Learning.
In: From Motor Learning to Interaction Learning in Robots, Berlin, Heidelberg, Springer, pp. 193-207, DOI: 10.1007/978-3-642-05181-4_9,
[Online-Edition: http://robot-learning.de/uploads/Publications/LGP_IROS_Chapt...],
[Book Section]

Nguyen-Tuong, D. and Peters, J. (2010):
Using Model Knowledge for Learning Inverse Dynamics.
In: IEEE International Conference on Robotics and Automation, Anchorage, AK, USA, May 2010, [Online-Edition: http://robot-learning.de/uploads/Publications/ICRA2010-Nguye...],
[Conference or Workshop Item]

Nguyen-Tuong, D. and Peters, J. (2010):
Incremental Sparsification for Real-time Online Model Learning.
In: Proceedings of Thirteenth International Conference on Artificial Intelligence and Statistics (AIStats), [Conference or Workshop Item]

Nguyen-Tuong, D. and Peters, J. (2010):
Using Model Knowledge for Learning Inverse Dynamics.
In: IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Nguyen-Tuong, Duy and Seeger, Matthias and Peters, Jan (2009):
Local Gaussian Process Regression for Real Time Online Model Learning and Control.
In: Advances in neural information processing systems 21 : [proceedings], Red Hook, NY, Curran, In: 22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS), December 8 - 10, 2008, Vancouver, Vancouver, B. C., Canada, [Online-Edition: http://www-clmc.usc.edu/publications/N/nguyen_NIPS2008.pdf],
[Conference or Workshop Item]

Neumann, Gerhard and Peters, Jan R. (2009):
Fitted Q-iteration by Advantage Weighted Regression.
In: Advances in neural information processing systems 21 : [proceedings], Red Hook, NY, Curran, In: 22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS), Vancouver, Canada, 2008.12.08-10, [Online-Edition: http://www-clmc.usc.edu/publications/N/neumann_NIPS2008.pdf],
[Conference or Workshop Item]

Nguyen-Tuong, Duy and Schoelkopf, Bernhard and Peters, Jan (2009):
Sparse Online Model Learning for Robot Control with Support Vector Regression.
In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, In: IROS 2009, St. Louis, MO, USA, 10-15 Oct. 2009, [Online-Edition: http://dx.doi.org/10.1109/IROS.2009.5354609],
[Conference or Workshop Item]

Neumann, Gerhard and Maass, Wolfgang and Peters, Jan (2009):
Learning Complex Motions by Sequencing Simpler Motion Templates.
In: Proceedings of the 26th Annual International Conference on Machine Learning, ACM, In: ICML '09, Montreal, Quebec, Canada, June 14 - 18, 2009, DOI: 10.1145/1553374.1553471,
[Online-Edition: http://robot-learning.de/uploads/Publications/ICML2009-Neuma...],
[Conference or Workshop Item]

Nguyen-Tuong, D. and Seeger, M. and Peters, J. (2009):
Model Learning with Local Gaussian Process Regression.
In: Advanced Robotics, pp. 2015-2034, 23, (15), [Online-Edition: http://robot-learning.de/uploads/Publications/Nguyen-Tuong-M...],
[Article]

Nguyen-Tuong, D. and Seeger, M. and Peters, J. (2009):
Local Gaussian Process Regression for Real Time Online Model Learning and Control.
In: Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press, In: Regular Paper � Acceptance Rate: 24%, [Conference or Workshop Item]

Neumann, G. and Peters, J. (2009):
Fitted Q-iteration by Advantage Weighted Regression.
In: Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press, In: Spotlight Presentation � Acceptance Rate: 9.2%, [Conference or Workshop Item]

Nguyen-Tuong, D. and Schölkopf, B. and Peters, Jan (2009):
Sparse Online Model Learning for Robot Control with Support Vector Regression.
In: Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Nguyen-Tuong, D. and Peters, J. (2008):
Local Gaussian Processes Regression for Real-time Model-based Robot Control.
In: International Conference on Intelligent Robot Systems (IROS), Nice, France, September 22-26, 2008, [Online-Edition: http://www-clmc.usc.edu/publications/N/nguyen_IROS2008.pdf],
[Conference or Workshop Item]

Nguyen-Tuong, D. and Peters, J. and Seeger, M. and Schoelkopf, B. (2008):
Learning Inverse Dynamics: a Comparison.
In: European Symposium on Artificial Neural Networks (ESANN 2008), Bruges, Belgium, April 23-25, 2008, [Conference or Workshop Item]

Nguyen-Tuong, D. and Seeger, M. and Peters, J. (2008):
Computed Torque Control with Nonparametric Regression Techniques.
In: American Control Conference (ACC), [Conference or Workshop Item]

Nguyen-Tuong, D. and Peters, J. and Seeger, M. and Schoelkopf, B. (2008):
Computed Torque Control with Nonparametric Regressions Techniques.
In: American Control Conference, Seattle, Washington, June 11-13, 2008, [Online-Edition: http://robot-learning.de/uploads/Publications/NguyenTuong_AC...],
[Conference or Workshop Item]

Nakanishi, J. and Cory, R. and Mistry, M. and Peters, J. and Schaal, S. (2008):
Operational space control: A theoretical and empirical comparison.
In: The International Journal of Robotics Research, pp. 737-757, 27, (6), ISSN 1741-3176,
DOI: 10.1177/0278364908091463,
[Online-Edition: http://www-clmc.usc.edu/publications/N/nakanishi-IJRR2008.pd...],
[Article]

Nguyen-Tuong, D. and Peters, J. (2008):
Learning Robot Dynamics for Computed Torque Control using Local Gaussian Processes Regression.
In: Proceedings of the ECSIS Symposium on Learning and Adaptive Behavior in Robotic Systems, LAB-RS 2008, Edinburgh, UK, 6.-8. August 2008, DOI: 10.1109/LAB-RS.2008.16,
[Online-Edition: http://www-clmc.usc.edu/publications/N/nguyen_ECSIS2008.pdf],
[Conference or Workshop Item]

Nakanishi, J. and Cory, R. and Mistry, M. and Peters, J. and Schaal, S. (2008):
Operational Space Control: A Theoretical and Emprical Comparison.
In: International Journal of Robotics Research, 27(6), pp.737-757, [Article]

Nguyen-Tuong, D. and Peters, J. (2008):
Learning Robot Dynamics for Computed Torque Control using Local Gaussian Processes Regression.
In: Proceedings of the ECSIS Symposium on Learning and Adaptive Behavior in Robotic Systems (LAB-RS), [Conference or Workshop Item]

Nguyen-Tuong, D. and Peters, J. and Seeger, M. and Schölkopf, B. (2008):
Learning Inverse Dynamics: a Comparison.
In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN), [Conference or Workshop Item]

Nguyen-Tuong, D. and Peters, J. (2008):
Local Gaussian Processes Regression for Real-time Model-based Robot Control.
In: International Conference on Intelligent Robot Systems(IROS), In: Best Paper Award Finalist, [Conference or Workshop Item]

Nakanishi, J. and Mistry, M. and Peters, J. and Schaal, S. (2007):
Experimental evaluation of task space position/orientation control towards compliant control for humanoid robots.
In: 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 29 October-2 November 2007, [Online-Edition: http://www-clmc.usc.edu/publications/T/nakanishi-IROS2007.pd...],
[Conference or Workshop Item]

Nakanishi, J. and Mistry, M. and Peters, J. and Schaal, S. (2007):
Experimental evaluation of task space position/orientation control towards compliant control for humanoid robots.
In: IEEE International Conference on Intelligent Robotics Systems (IROS), [Conference or Workshop Item]

Nakanishi, J. and Cory, R. and Mistry, M. and Peters, J. and Schaal, S. (2005):
Comparative experiments on task space control with redundancy resolution.
In: IEEE International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada, August 2-6, 2005, [Online-Edition: http://www-clmc.usc.edu/publications/N/nakanishi-IROS2005.pd...],
[Conference or Workshop Item]

Nakanishi, J. and Cory, R. and Mistry, M. and Peters, J. and Schaal, S. (2005):
Comparative Experiments on Task Space Control with Redundancy Resolution.
In: IEEE International Conference on Intelligent Robots and Systems (IROS), pp.3901-3908, [Conference or Workshop Item]

Nakanishi, Jun and Cory, Rick and Mistry, Michael and Peters, Jan and Schaal, Stefan (2005):
Comparative experiments on task space control with redundancy resolution.
In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, In: IEEE International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada, 2-6 Aug. 2005, DOI: 10.1109/IROS.2005.1545203,
[Online-Edition: http://www-clmc.usc.edu/publications/N/nakanishi-IROS2005.pd...],
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O

Osa, T. and Peters, J. and Neumann, G. (2018):
Hierarchical Reinforcement Learning of Multiple Grasping Strategies with Human Instructions.
In: Advanced Robotics, pp. 955-968, 32, (18), DOI: 10.1080/01691864.2018.1509018,
[Article]

Osa, T. and Pajarinen, J. and Neumann, G. and Bagnell, J.A. and Abbeel, P. and Peters, J. (2018):
An Algorithmic Perspective on Imitation Learning.
In: Foundations and Trends in Robotics, pp. 1-179, 7, (1-2), ISSN 1935-8253, 1935-8261 (elektronisch),
[Online-Edition: https://www.nowpublishers.com/article/DownloadSummary/ROB-05...],
[Article]

Osa, T. and Ghalamzan, E. A. M. and Stolkin, R. and Lioutikov, R. and Peters, J. and Neumann, G. (2017):
Guiding Trajectory Optimization by Demonstrated Distributions.
In: IEEE Robotics and Automation Letters, ieee, pp. 819-826, (2), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Article]

Osa, T. and Peters, J. and Neumann, G. (2016):
Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies.
In: Proceedings of the International Symposium on Experimental Robotics (ISER), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

P

Paraschos, A. and Daniel, C. and Peters, J. and Neumann, G. (2018):
Using Probabilistic Movement Primitives in Robotics.
In: Autonomous Robots, pp. 529-551, 42, (3), ISSN 0929-5593,
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/AlexandrosParas...],
[Article]

Paraschos, A. and Rueckert, E. and Peters, J. and Neumann, G. (2018):
Probabilistic Movement Primitives under Unknown System Dynamics.
In: Advanced Robotics, pp. 297-310, 32, (6), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Alumni/AlexandrosPar...],
[Article]

Pinsler, Robert and Akrour, Riad and Osa, Takayuki and Peters, Jan and Neumann, Gerhard (2018):
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences.
In: 2018 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Brisbane, QLD, Australia, 21-25 May 2018, DOI: 10.1109/ICRA.2018.8460907,
[Conference or Workshop Item]

Parmas, P. and Doya, K. and Rasmussen, C. and Peters, J. (2018):
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos.
In: International Conference on Machine Learning, [Article]

Paraschos, Alexandros (2017):
Robot Skill Representation, Learning and Control with Probabilistic Movement Primitives.
Darmstadt, Technische Universität, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/6947],
[Ph.D. Thesis]

Parisi, S. and Pirotta, M. and Peters, J. (2017):
Manifold-based Multi-objective Policy Search with Sample Reuse.
In: Neurocomputing, pp. 3-14, 263, ISSN 0925-2312,
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Article]

Padois, V. and Ivaldib, S. and Babic, J. and Mistry, M. and Peters, J. and Nori, F. (2017):
Whole-body multi-contact motion in humans and humanoids.
In: Robotics and Autonomous Systems, pp. 97-117, 90, ISSN 0921-8890,
[Article]

Pajarinen, J. and Kyrki, V. and Koval, M. and Srinivasa, S. and Peters, J. and Neumann, G. (2017):
Hybrid Control Trajectory Optimization under Uncertainty.
In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Parisi, S. and Ramstedt, S. and Peters, J. (2017):
Goal-Driven Dimensionality Reduction for Reinforcement Learning.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Paraschos, Alexandros and Lioutikov, Rudolf and Peters, Jan and Neumann, Gerhard (2017):
Probabilistic Prioritization of Movement Primitives.
In: IEEE Robotics and Automation Letters, IEEE, pp. 2294-2301, 2, (4), DOI: 10.1109/LRA.2017.2725440,
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/AlexandrosParas...],
[Article]

Peters, Jan and Tedrake, Russ and Roy, Nick and Morimoto, Jun (2017):
Robot Learning.
In: Encyclopedia of Machine Learning and Data Mining, Boston, MA, Springer, [Online-Edition: https://doi.org/10.1007/978-1-4899-7687-1_738],
[Book Section]

Peters, J. and Lee, D. and Kober, J. and Nguyen-Tuong, D. and Bagnell, J. and Schaal, S. (2016):
Chapter 15: Robot Learning.
In: Springer Handbook of Robotics, Springer International Publishing, pp. 357-394, [Book Section]

Parisi, S. and Blank, A. and Viernickel,, T. and Peters, J. (2016):
Local-utopia Policy Selection for Multi-objective Reinforcement Learning.
In: Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Peters, J. and Bagnell, J.A. (2016):
Policy gradient methods.
In: Encyclopedia of Machine Learning, Berlin u.a., Springer, [Online-Edition: https://www.springer.com/de/book/9781489976857],
[Book Section]

Paraschos, A. and Rueckert, E. and Peters, J and Neumann, G. (2015):
Model-Free Probabilistic Movement Primitives for Physical Interaction.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/PubAlexParascho...],
[Conference or Workshop Item]

Parisi, S. and Abdulsamad, H. and Paraschos, A. and Daniel, C. and Peters, J. (2015):
Reinforcement Learning vs Human Programming in Tetherball Robot Games.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/SimoneParisi/pa...],
[Conference or Workshop Item]

Peters, Jan and Muelling, Katharina and Kober, Jens (2014):
Experiments with Motor Primitives in Table Tennis.
In: Experimental Robotics, Berlin, Heidelberg, Springer, In: 12th International Symposium on Experimental Robotics (ISER 2010), In: Springer Tracts in Advanced Robotics, 79, DOI: 10.1007/978-3-642-28572-1_24,
[Conference or Workshop Item]

Peters, J. and Kober, J. and Muelling, K. and Kroemer, O. and Neumann, G. (2013):
Towards Robot Skill Learning: From Simple Skills to Table Tennis.
In: European Conference on Machine Learning (ECML), Nectar Track, Prag, September 23-27, 2013, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/peter...],
[Conference or Workshop Item]

Peters, J. and Kober, J. and Muelling, K. and Nguyen-Tuong, D. and Kroemer, O. (2013):
Learning Skills with Motor Primitives.
In: Proceedings of the 16th Yale Learning Workshop, Yale, 2013, [Conference or Workshop Item]

Paraschos, A. and Neumann, G. and Peters, J. (2013):
A Probabilistic Approach to Robot Trajectory Generation.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Parascho...],
[Conference or Workshop Item]

Paraschos, A. and Daniel, C. and Peters, J. and Neumann, G.
Burges, C. J. C. and Bottou, L. and Welling, M. and Ghahramani, Z. and Weinberger, K. Q. (eds.) (2013):
Probabilistic Movement Primitives.
In: Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, 5-10 December 2013, In: Advances in Neural Information Processing Systems, 26, [Online-Edition: https://dblp.org/db/conf/nips/nips2013],
[Conference or Workshop Item]

Peters, J. (2013):
Machine Learning for Robotics.
VDM Verlag, ISBN 978-3-639-02110-3,
[Online-Edition: http://www.amazon.de/Machine-Learning-Robotics-Methods-Skill...],
[Book]

Peters, J. and Kober, J. and Muelling, K. and Nguyen-Tuong, D. and Kroemer, O. (2012):
Robot Skill Learning.
In: Proceedings of the European Conference on Artificial Intelligence (ECAI), Amsterdam, IOS Press, In: Proceedings of the European Conference on Artificial Intelligence (ECAI), Montpellier, France, August 27 - 31, 2012, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Peters, Jan and Tedrake, Russ and Roy, Nicholas and Morimoto, Jun (2011):
Robot Learning.
In: Encyclopedia of Machine Learning, Boston, MA, Springer, DOI: 10.1007/978-0-387-30164-8_732,
[Book Section]

Piater, Justus and Jodogne, Sébastien and Detry, Renaud and Kraft, Dirk and Krüger, Norbert and Kroemer, Oliver and Peters, Jan (2011):
Learning Visual Representations for Perception-Action Systems.
In: The International Journal of Robotics Research, pp. 294-307, 30, (3), DOI: 10.1177/0278364910382464,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/Piate...],
[Article]

Peters, Jan and Kober, Jens and Muelling, Katharina and Nguyen-Tuong, Duy and Kroemer, Oliver (2011):
Towards Motor Skill Learning for Robotics.
In: Robotics Research, Berlin, Springer, In: The 14th International Symposium ISRR, Luzern, 31. August-3. September 2009, In: Springer tracts in advanced robotics, 70, [Online-Edition: http://www-clmc.usc.edu/publications/P/Peters_ISRR2009.pdf],
[Conference or Workshop Item]

Piater, J. and Jodogne, S. and Detry, R. and Kraft, D. and Krüger, N. and Krömer, O. and Peters, J. (2011):
Learning Visual Representations for Perception-Action Systems.
In: International Journal of Robotics Research, pp. 294-307, (30(3)), [Article]

Peters, J. and Kober, J. and Schaal, S. (2010):
Algorithmen zum Automatischen Erlernen von Motorfähigkeiten, 58(12), pp. 688â��694.
In: at -Automatisierungstechnik, [Article]

Peters, J. and Mülling, K. and Kober, J. (2010):
Experiments with Motor Primitives to learn Table Tennis.
In: International Symposium on Experimental Robotics (ISER), [Conference or Workshop Item]

Peters, J. and Kober, J. and Mülling, K. and Nguyen-Tuong, D. and Krömer, O. (2010):
Robot Motor Skill Learning.
In: Proceedings of the 3rd Workshop for Young Researchers on Human-Friendly Robotics, [Conference or Workshop Item]

Peters, J. and Mülling, K. and Altun, Y. (2010):
Reinforcement Learning by Relative Entropy Policy Search.
In: Proceedings of 30th International Workshop on Bayesian Inference and Maximum Entropy, July 5 -July 9, 2010. Charmonoix, France, [Conference or Workshop Item]

Peters, J. (2010):
Policy Gradient Methods.
In: Scholarpedia, 5(11):2698, [Article]

Peters, J. and Bagnell, J. A. (2010):
Policy gradient methods.
In: Encyclopedia of Machine Learning, In: Invited Article, [Conference or Workshop Item]

Peters, J. and Muelling, K. and Altun, Y. (2010):
Relative Entropy Policy Search.
Menlo Park, AAI Press, In: Symposium on Educational Advances in AI; Proceedings of the twenty-fourth AAAI Conference on Artificial Intelligence and the Twenty-second Innovative Applications of Artificial Intelligence Conference, Atlanta, GA, USA, In: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10), T. 3, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Team/JanPe...],
[Conference or Workshop Item]

Peters, Jan and Bagnell, J. Andrew (2010):
Policy gradient methods.
In: Encyclopedia of Machine Learning, Berlin, Springer, DOI: 10.1007/978-0-387-30164-8_640,
[Online-Edition: http://www-clmc.usc.edu/publications/P/Peters_EOMLA_submitte...],
[Book Section]

Peters, Jan and Kober, Jens and Schaal, Stefan (2010):
Policy learning algorithmis for motor learning (Algorithmen zum automatischen Erlernen von Motorfaehigkigkeiten).
In: Automatisierungstechnik, De Gruyter, pp. 688-694, 58, (12), ISSN 2196-677X ; Druckausg.: 0178-2312,
[Online-Edition: http://www-clmc.usc.edu/publications/P/peters-Auto2010.pdf],
[Article]

Peters, J. and Mülling, K. and Altun, Y. (2010):
Relative Entropy Policy Search.
In: Proceedings of the Twenty-Fourth National Conference on Artificial Intelligence (AAAI), In: Acceptance Rate: 26%, [Conference or Workshop Item]

Peters, J. and Ng, A. Y. (2009):
Guest Editorial: Special Issue on Robot Learning, Part A.
In: Autonomous Robots, 27(1), [Article]

Peters, J. and Ng, A. Y. (2009):
Guest Editorial: Special Issue on Robot Learning, Part B.
In: Autonomous Robots, 27(2), [Article]

Peters, Jan and Morimoto, Jun and Tedrake, Russ and Roy, Nicholas (2009):
Robot Learning [TC Spotlight].
In: IEEE Robotics & Automation Magazine, IEEE, pp. 19-20, 16, (3), ISSN Print ISSN: 1070-9932 Electronic ISSN: 1558-223X,
DOI: 10.1109/MRA.2009.933618,
[Article]

Peters, Jan and Kober, Jens (2009):
Using Reward-Weighted Imitation for Robot Reinforcement Learning.
In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, In: Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, Nashville, TN, USA, 30 March-2 April 2009, DOI: 10.1109/ADPRL.2009.4927549,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/publications/peter...],
[Conference or Workshop Item]

Piater, J. and Jodogne, S. and Detry, R. and Kraft, D. and Krueger, N. and Kroemer, O. and Peters, J. (2009):
Learning Visual Representations for Interactive Systems.
In: International Symposium on Robotics Research (ISRR), Invited Paper, Lucerne, Switzerland, August 31 - September 3, 2009, [Online-Edition: http://www-clmc.usc.edu/publications//P/Piater_POTISORRIP_20...],
[Conference or Workshop Item]

Peters, Jan and Ng, Andrew Y. (2009):
Guest Editorial: Special Issue on Robot Learning, Part B.
In: Autonomous Robots, Springer, pp. 91-92, 27, (2), [Online-Edition: http://dx.doi.org/10.1007/s10514-009-9131-1],
[Article]

Peters, J. and Ng, A. (2009):
Guest Editorial: Special Issue on Robot Learning, Part A.
In: Autonomous Robots, pp. 1-2, 27, (1), ISSN 0929-5593,
[Online-Edition: http://dx.doi.org/10.1007/s10514-009-9131-1],
[Article]

Peters, J. and Kober, J. and Mülling, K. and Nguyen-Tuong, D. and Krömer, O. (2009):
Towards Motor Skill Learning for Robotics.
In: Proceedings of the International Symposium on Robotics Research (ISRR), In: Invited Paper, [Conference or Workshop Item]

Piater, J. and Jodogne, S. and Detry, R. and Kraft, D. and Krüger, N. and Krömer, O. and Peters, J. (2009):
Learning Visual Representations for Interactive Systems.
In: Proceedings of the International Symposium on Robotics Research (ISRR), In: Invited Paper, [Conference or Workshop Item]

Peters, J. and Kober, J. (2009):
Using Reward-Weighted Imitation for Robot Reinforcement Learning.
In: Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, [Conference or Workshop Item]

Peters, J. and Nguyen-Tuong, D. (2008):
Real-Time Learning of Resolved Velocity Control on a Mitsubishi PA-10.
In: International Conference on Robotics and Automation (ICRA), Pasadena, California, USA, May 19 - 23, 2008, [Online-Edition: http://www-clmc.usc.edu/publications/P/peters-ICRA2008.pdf],
[Conference or Workshop Item]

Peters, J. and Mistry, M. and Udwadia, F. E. and Nakanishi, J. and Schaal, S. (2008):
A Unifying Methodology for Robot Control with Redundant DOFs.
In: Autonomous Robots, 24(1), pp.1-12, [Article]

Peters, J. and Kober, J. and Nguyen-Tuong, D. (2008):
Policy Learning - a unified perspective with applications in robotics.
In: Proceedings of the European Workshop on Reinforcement Learning (EWRL), Villeneuve d’Ascq, France, June 30-July 3, 2008, DOI: 10.1007/978-3-540-89722-4_17,
[Online-Edition: http://www-clmc.usc.edu/publications/P/peters_EWRL2008.pdf],
[Conference or Workshop Item]

Peters, J. (2008):
Machine Learning for Motor Skills in Robotics.
In: KI - Künstliche Intelligenz, pp. 41-43, 22, (4), [Online-Edition: http://www-clmc.usc.edu/publications//P/Peters_KI_2008.pdf],
[Article]

Peters, J. and Schaal, S. (2008):
Natural actor-critic.
In: Neurocomputing, pp. 1180-1190, 71, (7-9), ISSN 1872-8286,
DOI: 10.1016/j.neucom.2007.11.02,
[Online-Edition: http://www-clmc.usc.edu/publications//P/peters-NC2008.pdf],
[Article]

Peters, J. and Schaal, S. (2008):
Learning to control in operational space.
In: The International Journal of Robotics Research, pp. 197-212, 27, (2), ISSN 1741-3176,
DOI: 10.1177/0278364907087548,
[Online-Edition: http://www-clmc.usc.edu/publications/P/peters-IJRR2008.pdf],
[Article]

Peters, J. and Schaal, S. (2008):
Reinforcement learning of motor skills with policy gradients.
In: Neural Networks, pp. 682-697, 21, (4), ISSN 1879-2782,
DOI: 10.1016/j.neunet.2008.02.003,
[Online-Edition: http://www-clmc.usc.edu/publications/P/peters-NN2008.pdf],
[Article]

Peters, J. and Mistry, M. and Udwadia, F. E. and Nakanishi, J. and Schaal, S. (2008):
A unifying framework for robot control with redundant DOFs.
In: Autonomous Robots, pp. 1-12, 24, (1), ISSN 0929-5593,
DOI: 10.1007/s10514-007-9051-x,
[Online-Edition: http://www-clmc.usc.edu/publications/P/peters-AR2008.pdf],
[Article]

Peters, J. (2008):
Machine Learning for Robotics.
VDM, ISBN 978-3-639-02110-3, [Book]

Peters, J. and Schaal, S. (2008):
Learning to Control in Operational Space.
In: International Journal of Robotics Research, 27, pp.197-212, [Article]

Peters, J. (2008):
Machine Learning for Motor Skills in Robotics.
In: Künstliche Intelligenz, pp. 41-43, (08/4), [Article]

Peters, J. and Schaal, S. (2008):
Reinforcement Learning of Motor Skills with Policy Gradients.
In: Neural Networks, 21(4), pp.682-97, [Article]

Peters, J. and Kober, J. and Nguyen-Tuong, D. (2008):
Policy Learning - a Unified Perspective with Applications in Robotics.
In: Proceedings of the European Workshop on Reinforcement Learning (EWRL), [Conference or Workshop Item]

Peters, J. and Nguyen-Tuong, D. (2008):
Real-Time Learning of Resolved Velocity Control on a Mitsubishi PA-10.
In: International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Peters, J. (2007):
Computational Intelligence: Principles, Techniques and Applications.
In: The Computer Journal, p. 758, 50, (6), DOI: 10.1093/comjnl/bxm073,
[Article]

Peters, J. and Schaal, S. (2007):
Policy Learning for Motor Skills.
In: Proceedings of 14th International Conference on Neural Information Processing (ICONIP), Kitakyushu, Japan, November 13-16, 2007, [Online-Edition: http://www-clmc.usc.edu/publications/P/peters_ICONIP2007.pdf],
[Conference or Workshop Item]

Peters, J. and Schaal, S. and Schoelkopf, B. (2007):
Towards Machine Learning of Motor Skills.
In: Proceedings of Autonome Mobile Systeme (AMS), Kaiserslautern, 18.-19. Oktober 2007, DOI: 10.1007/978-3-540-74764-2_22,
[Online-Edition: http://www-clmc.usc.edu/publications//P/Peters_POAMS_2007.pd...],
[Conference or Workshop Item]

Peters, J. (2007):
Machine Learning of Motor Skills for Robotics.
TU Darmstadt, [Ph.D. Thesis]

Peters, J. and Schaal, S. (2007):
Reinforcement learning for operational space control.
In: International Conference on Robotics and Automation (ICRA2007), Roma, Italy, 10.-14. April 2007, [Online-Edition: http://www-clmc.usc.edu/publications/P/peters-ICRA2007.pdf],
[Conference or Workshop Item]

Peters, J. and Schaal, S. (2007):
Using reward-weighted regression for reinforcement learning of task space control.
In: Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, Honolulu, Hawaii, 1.-5. April 2007, [Online-Edition: http://www-clmc.usc.edu/publications/P/peters-ADPRL2007.pdf],
[Conference or Workshop Item]

Peters, J. and Schaal, S. (2007):
Applying the episodic natural actor-critic architecture to motor primitive learning.
In: Proceedings of the 2007 European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, April 23-25, 2008, [Online-Edition: http://www-clmc.usc.edu/publications//P/peters-ESANN2007.pdf],
[Conference or Workshop Item]

Peters, J. and Schaal, S. (2007):
Reinforcement learning by reward-weighted regression for operational space control.
In: Proceedings of the International Conference on Machine Learning (ICML2007), Corvallis, OR, USA, June 20 - 24, 2007, DOI: 10.1145/1273496.1273590,
[Online-Edition: http://www-clmc.usc.edu/publications//P/peters_ICML2007.pdf],
[Conference or Workshop Item]

Peters, J. and Theodorou, E. and Schaal, S. (2007):
Policy gradient methods for machine learning.
In: INFORMS Conference of the Applied Probability Society, Eindhoven, The Netherlands, July 9 - 11, 2007, [Conference or Workshop Item]

Peters, J. (2007):
Relative Entropy Policy Search.
[Online-Edition: http://www-clmc.usc.edu/publications/P/Peters-TR2007.pdf],
[Conference or Workshop Item]

Peters, J. (2007):
Computational Intelligence: Principles, Techniques and Applications.
In: The Computer Journal, Book Review, 50(6), pp.758, [Article]

Peters, Schaal (2007):
Policy Learning for Motor Skills.
In: Proceedings of the International Conference on Neural Information Processing (ICONIP), [Conference or Workshop Item]

Peters, J. and Schaal, S. and Schölkopf, B. (2007):
Towards Machine Learning of Motor Skills.
In: Proceedings of Autonome Mobile Systeme (AMS), [Conference or Workshop Item]

Peters, J. and Schaal, S. (2007):
Reinforcement learning for Operational Space Control.
In: International Conference on Robotics and Automation (ICRA), pp.2111-22 2116, [Conference or Workshop Item]

Peters, J. and Schaal, S. (2007):
Using Reward-Weighted Regression for Reinforcement Learning of Task Space Control.
In: Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, [Conference or Workshop Item]

Peters, J. and Schaal, S. (2007):
Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning.
In: Proceedings of the 2007 European Symposium on Artificial Neural Networks (ESANN), [Conference or Workshop Item]

Peters, J. and Schaal, S. (2007):
Reinforcement Learning by Reward-Weighted Regression for Operational Space Control.
In: Proceedings of the International Conference on Machine Learning (ICML), In: Acceptance Rate: 27%, [Conference or Workshop Item]

Peters, J. and Theodorou, E. and Schaal, S. (2007):
Policy Gradient Methods for Machine Learning.
In: INFORMS Conference of the Applied Probability Society, [Conference or Workshop Item]

Peters, J. (2007):
Machine Learning of Motor Skills for Robotics.
TU Darmstadt, [Ph.D. Thesis]

Peters, J. and Schaal, S. (2006):
Learning operational space control.
cambridge, ma: mit press, In: Robotics: Science and Systems (RSS 2006), Philadelphia, Pennsylvania, USA, August 16-19, 2006, DOI: 10.15607/RSS.2006.II.033,
[Online-Edition: http://www-clmc.usc.edu/publications/P/peters-RSS2006.pdf],
[Conference or Workshop Item]

Peters, J. and Schaal, S. (2006):
Reinforcement Learning for Parameterized Motor Primitives.
In: Proceedings of the 2006 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada, July 16-21, 2006, DOI: 10.1109/IJCNN.2006.246662,
[Online-Edition: http://www-clmc.usc.edu/publications/P/peters-IJCNN2006.pdf],
[Conference or Workshop Item]

Peters, J. and Schaal, S. (2006):
Policy gradient methods for robotics.
In: Proceedings of the IEEE International Conference on Intelligent Robotics Systems (IROS 2006), Beijing, China, October 9-15, 2006, [Online-Edition: http://www-clmc.usc.edu/publications/P/peters-IROS2006.pdf],
[Conference or Workshop Item]

Peters, J. and Schaal, S. (2006):
Learning Operational Space Control.
In: Robotics: Science and Systems (R:SS), Cambridge, MA: MIT Press, In: Acceptance Rate: 24%, [Conference or Workshop Item]

Peters, J. and Schaal, S. (2006):
Reinforcement Learning for Parameterized Motor Primitives.
In: Proceedings of the 2006 International Joint Conference on Neural Networks (IJCNN), [Conference or Workshop Item]

Peters, J. and Schaal, S. (2006):
Policy Gradient Methods for Robotics.
In: Proceedings of the IEEE International Conference on Intelligent Robotics Systems (IROS), [Conference or Workshop Item]

Peters, Jan and Schaal, Stefan (2006):
Policy gradient methods for robotics.
In: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, In: IEEE International Conference on Intelligent Robotics Systems (IROS 2006), Beijing, China, 9-15 Oct. 2006, DOI: 10.1109/IROS.2006.282564,
[Online-Edition: http://www-clmc.usc.edu/publications/P/peters-IROS2006.pdf],
[Conference or Workshop Item]

Peters, J. and Mistry, M. and Udwadia, F. E. and Cory, R. and Nakanishi, J. and Schaal, S. (2005):
A Unifying Framework for the Control of Robotic Systems.
In: IEEE International Conference on Intelligent Robots and Systems (IROS), pp.1824-1831, [Conference or Workshop Item]

Peters, J. and Vijayakumar, S. and Schaal, S. (2005):
Natural Actor-Critic.
In: Proceedings of the 16th European Conference on Machine Learning (ECML 2005), Porto, Portugal, October 3-7, 2005, [Online-Edition: http://www-clmc.usc.edu/publications/P/peters-ECML2005.pdf],
[Conference or Workshop Item]

Peters, J. and Mistry, M. and Udwadia, F. E. and Schaal, S. (2005):
A new methodology for robot control design.
In: The 5th ASME International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC 2005), Long Beach, California, USA, September 24–28, 2005, [Online-Edition: http://www-clmc.usc.edu/publications/P/peters-MSNDC2005.pdf],
[Conference or Workshop Item]

Peters, J. and Mistry, M. and Udwadia, F. E. and Cory, R. and Nakanishi, J. and Schaal, S. (2005):
A unifying framework for the control of robotics systems.
In: IEEE International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada, August 2-6, 2005, [Online-Edition: http://www-clmc.usc.edu/publications/P/peters-IROS2005.pdf],
[Conference or Workshop Item]

Peters, J. and Mistry, M. and Udwadia, F. E. and Schaal, S. (2005):
A New Methodology for Robot Control Design.
In: The 5th ASME International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), [Conference or Workshop Item]

Peters, J. and Vijayakumar, S. and Schaal, S. (2005):
Natural Actor-Critic.
In: Machine Learning: ECML 2005 ; Proceedings, Berlin, Heidelberg, Springer, In: 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, In: Lecture Notes in Computer Science, 3720, [Online-Edition: http://www-clmc.usc.edu/publications/P/peters-ECML2005.pdf],
[Conference or Workshop Item]

Peters, Jan and Mistry, Michael and Udwadia, Firdaus and Schaal, Stefan (2005):
A new methodology for robot control design.
In: Proceedings of the ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - 2005 : Parts A, B, and C, ASME, In: The 5th ASME International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC 2005), Long Beach, California, USA, September 24–28, 2005, In: Conferences and Computers and Information in Engineering Conference, 6, DOI: 10.1115/DETC2005-85166,
[Online-Edition: http://www-clmc.usc.edu/publications/P/peters-MSNDC2005.pdf],
[Conference or Workshop Item]

Peters, J. and Mistry, M. and Udwadia, F. E. and Cory, R. and Nakanishi, J. and Schaal, S. (2005):
A unifying framework for the control of robotics systems.
In: IEEE International Conference on Intelligent Robots and Systems (IROS 2005), [Online-Edition: http://www-clmc.usc.edu/publications/P/peters-IROS2005.pdf],
[Conference or Workshop Item]

Peters, J. and Schaal, S. (2004):
Learning Motor Primitives with Reinforcement Learning.
In: AAAI Fall Symposium on Real-Life Reinforcement Learning, [Conference or Workshop Item]

Peters, Jan and Schaal, Stefan (2004):
Learning Motor Primitives with Reinforcement Learning : Poster.
In: 11th Joint Symposium on Neural Computation, University of Southern California, 15 May 2004, [Online-Edition: http://resolver.caltech.edu/CaltechJSNC:2004.poster020],
[Conference or Workshop Item]

Peters, J. and Vijayakumar, S. and Schaal, S. (2003):
Natural Actor-Critic : Poster presented at NIPS 2003 ...
In: NIPS Workshop on Planning for the Real World: The promises and challenges of dealing with uncertainty, Whistler, BC, Canada, [Conference or Workshop Item]

Peters, J. and Vijayakumar, S. and Schaal, S. (2003):
Reinforcement learning for humanoid robotics.
In: IEEE-RAS International Conference on Humanoid Robots (Humanoids 2003), Karlsruhe, Germany, September 29-30, 2003, [Online-Edition: http://www-clmc.usc.edu/publications/p/peters-ICHR2003.pdf],
[Conference or Workshop Item]

Peters, J. and Vijayakumar, S. and Schaal, S. (2003):
Scaling reinforcement learning paradigms for motor learning.
In: Proceedings of the 10th Joint Symposium on Neural Computation (JSNC 2003), [Online-Edition: http://www-clmc.usc.edu/publicatons/P/peters-JSNC2003.pdf],
[Conference or Workshop Item]

Peters, J. and Vijayakumar, S. and Schaal, S. (2003):
Scaling Reinforcement Learning Paradigms for Motor Learning.
In: Proceedings of the 10th Joint Symposium on Neural Computation, [Conference or Workshop Item]

Peters, J. and Vijayakumar, S. and Schaal, S. (2003):
Reinforcement Learning for Humanoid Robotics.
In: IEEE-RAS International Conference on Humanoid Robots (Humanoids), [Conference or Workshop Item]

Peters, J. and Vijayakumar, S. and Schaal, S. (2003):
Reinforcement learning for humanoid robotics.
In: IEEE-RAS International Conference on Humanoid Robots (Humanoids2003), [Online-Edition: http://www-clmc.usc.edu/publications/p/peters-ICHR2003.pdf],
[Conference or Workshop Item]

Peters, J. and Vijayakumar, S. and Schaal, S. (2003):
Scaling reinforcement learning paradigms for motor learning.
In: Proceedings of the 10th Joint Symposium on Neural Computation (JSNC 2003), [Online-Edition: http://www-clmc.usc.edu/publicatons/P/peters-JSNC2003.pdf],
[Conference or Workshop Item]

Peters, J. and van der Smagt, P. (2002):
Searching a Scalable Approach to Cerebellar Based Control.
In: Applied Intelligence, pp. 11-33, (17(1)), [Article]

Peters, J. (2001):
Cerebellar Control of Robot Arms.
TU Darmstadt, [Master Thesis]

Peters, J. (2000):
Neural Networks in Robot Control.
TU Darmstadt, [Master Thesis]

Peters, J. and Riener, R. (2000):
A real-time model of the human knee for application in virtual orthopaedic trainer.
In: Proceedings of the 10th International Conference on Biomedical Engineering Conference (ICBME), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Peters, J. and Riener, R. (2000):
A real-time model of the human knee for application in virtual orthopedic trainer.
In: Proceedings of the 10th International Conference on Biomedical Engineering Conference (ICBME), [Conference or Workshop Item]

Peters, J. and Riener, R. (2000):
A real-time model of the human knee for application in virtual orthopaedic trainer.
In: Proceedings of the 10th International Conference on Biomedical Engineering Conference (ICBME), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Peters, J. (1998):
Fuzzy Logic for Practical Applications.
In: KI - Künstliche Intelligenz, p. 60, 98, (4), [Article]

R

Rueckert, E. and Nakatenus, M. and Tosatto, S. and Peters, J. (2017):
Learning Inverse Dynamics Models in O(n) time with LSTM networks.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: https://rueckert.lima-city.de/papers/Humanoids2017Rueckert.p...],
[Conference or Workshop Item]

Rueckert, Elmar and Kappel, David and Tanneberg, Daniel and Pecevski, Dejan and Peters, Jan (2016):
Recurrent Spiking Networks Solve Planning Tasks.
In: Scientific Reports, Nature Publ. Group, 6, (21142), ISSN 2045-2322,
[Online-Edition: http://dx.doi.org/10.1038/srep21142],
[Article]

Rueckert, Elmar and Camernik, Jernej and Peters, Jan and Babic, Jan (2016):
Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control.
In: Scientific reports, 6, (28455), ISSN 2045-2322,
[Online-Edition: http://dx.doi.org/10.1038/srep28455],
[Article]

Rueckert, E. and Lioutikov, R. and Calandra, R. and Schmidt, M. and Beckerle, Philipp and Peters, J. (2015):
Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations.
In: ICRA 2015 Workshop “Tactile & force sensing for autonomous, compliant, intelligent robots”, Seattle, Washington, May 2015, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Workshops/ICRA2015Ta...],
[Conference or Workshop Item]

Rueckert, E. and Mundo, J. and Paraschos, A. and Peters, J. and Neumann, G. (2015):
Extracting Low-Dimensional Control Variables for Movement Primitives.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Rueckert, E. and Mindt, M. and Peters, J. and Neumann, G. (2014):
Robust Policy Updates for Stochastic Optimal Control.
In: International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Site/EditP...],
[Conference or Workshop Item]

Riedmiller, M. and Peters, J. and Schaal, S. (2007):
Evaluation of policy gradient methods and variants on the cart-pole benchmark.
In: Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, Honolulu, HI, USA, 1-5 April 2007, [Online-Edition: http://www-clmc.usc.edu/publications/P/riedmiller-ADPRL2007....],
[Conference or Workshop Item]

Riedmiller, M. and Peters, J. and Schaal, S. (2007):
Evaluation of Policy Gradient Methods and Variants on the Cart- Pole Benchmark.
In: Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, [Conference or Workshop Item]

S

Stark, S. and Peters, J. and Rueckert, E. (2017):
A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/SvenjaStark/sta...],
[Conference or Workshop Item]

Sharma, D. and Tanneberg, D. and Grosse-Wentrup, M. and Peters, J. and Rueckert, E. (2016):
Adaptive Training Strategies for BCIs.
In: Cybathlon Symposium, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/ElmarR%c3%bccke...],
[Conference or Workshop Item]

Saut, J.-P. and Ivaldi, S. and Sahbani, A. and Bidaud, P. (2014):
Grasping objects localized from uncertain point cloud data.
In: Robotics and Autonomous Systems, [Article]

Sigaud, Olivier and Peters, Jan (2012):
Robot Learning.
In: Encyclopedia of the Sciences of Learning, Boston, MA, Springer, pp. 168-211, DOI: 10.1007/978-1-4419-1428-6_237,
[Book Section]

Sigaud, O. and Peters, J. (2010):
From Motor Learning to Interaction Learning in Robots.
Studies in Computational Intelligence, Springer Verlag, 264, In: doi:10.1007/978-3-642-05181-4, [Book]

Sigaud, O. and Peters, J. (2010):
From Motor Learning to Interaction Learning in Robots.
Berlin, Heidelberg, Springer, In: Studies in Computational Intelligence ; 264, ISBN 978-3-642-05181-4,
[Online-Edition: http://dx.doi.org/10.1007/978-3-642-05181-4],
[Book]

Sehnke, F. and Osendorfer, C. and Rückstiess, T. and Graves, A. and Peters, J. and Schmidhuber, J. (2010):
Parameter-exploring Policy Gradients.
In: Neural Networks, pp. 551-559, (23(4)), [Article]

Sigaud, Olivier and Peters, Jan (2009):
From Motor Learning to Interaction Learning in Robots.
In: Proceedings of 7ème Journées Nationales de la Recherche en Robotique, In: JNRR 2009, Neuvy-sur-Barangeon, France, [Online-Edition: http://robot-learning.de/uploads/Publications/JNRR2009-Sigau...],
[Conference or Workshop Item]

Steinke, F. and Hein, M. and Peters, J. and Schoelkopf, B. (2008):
Manifold-valued Thin-Plate Splines with Applications in Computer Graphics.
In: Eurographics, The Eurographics Association, 27, (2), [Online-Edition: http://robot-learning.de/uploads/Publications/Steinke_EGFina...],
[Article]

Sehnke, F. and Osendorfer, C. and Rueckstiess, T. and Graves, A. and Peters, J. and Schmidhuber, J. (2008):
Policy Gradients with Parameter-based Exploration for Control.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Prague, Czech Republic, 3.-6. September 2008, DOI: 10.1007/978-3-540-87536-9_40,
[Online-Edition: http://www-clmc.usc.edu/publications/S/sehnke_ICANN2008.pdf],
[Conference or Workshop Item]

Sehnke, Frank and Osendorfer, Christian and Rückstiess, Thomas and Graves, Alex and Peters, Jan and Schmidhuber, Jürgen (2008):
Policy Gradients with Parameter-based Exploration for Control.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), [Conference or Workshop Item]

Steinke, F. and Hein, M. and Peters, J. and Schölkopf, B. (2008):
Manifold-valued Thin-Plate Splines with Applications in Computer Graphics.
In: Computer Graphics Forum (Special Issue on Eurographics 2008), pp. 437-448, (27(2)), [Article]

Schaal, S. and Peters, J. and Nakanishi, J. and Ijspeert, A. (2004):
Learning Movement Primitives.
In: International Symposium on Robotics Research (ISRR 2003), Springer, [Conference or Workshop Item]

Schaal, S. and Peters, J. and Nakanishi, J. and Ijspeert, A. (2004):
Learning Movement Primitives.
In: International Symposium on Robotics Research (ISRR2003), [Online-Edition: http://www-clmc.usc.edu/publications/S/schaal-ISRR2003.pdf],
[Conference or Workshop Item]

Schaal, S. and Peters, J. and Nakanishi, J. and Ijspeert, A. (2003):
Learning Movement Primitives.
In: International Symposium on Robotics Research (ISRR2003), Siena, Italy, October 19-22, 2003, [Online-Edition: http://www-clmc.usc.edu/publications/S/schaal-ISRR2003.pdf],
[Conference or Workshop Item]

Schaal, S. and Peters, J. and Nakanishi, J. and Ijspeert, A. (2003):
Control, planning, learning, and imitation with dynamic movement primitives.
In: Workshop on Bilateral Paradigms on Humans and Humanoids, IEEE International Conference on Intelligent Robots and Systems (IROS 2003), Las Vegas, NV, USA, [Online-Edition: http://www-clmc.usc.edu/publications/S/schaal-IROS2003.pdf],
[Conference or Workshop Item]

Schaal, S. and Peters, J. and Nakanishi, J. and Ijspeert, A. (2003):
Control, Planning, Learning, and Imitation with Dynamic Movement Primitives.
In: Workshop on Bilateral Paradigms on Humans and Humanoids, IEEE International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

T

Tanneberg, Daniel and Peters, Jan and Rueckert, Elmar (2018):
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks.
In: Neural Networks, Elsevier, ISSN 0893-6080,
DOI: 10.1016/j.neunet.2018.10.005,
[Online-Edition: https://arxiv.org/pdf/1802.08013.pdf],
[Article]

Tangkaratt, V. and van Hoof, H. and Parisi, S. and Neumann, G. and Peters, J. and Sugiyama, M. (2017):
Policy Search with High-Dimensional Context Variables.
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Tosatto, S. and D'eramo, C and Pirotta, M. and Restelli, M. (2017):
Boosted Fitted Q-Iteration.
In: Proceedings of the International Conference of Machine Learning (ICML), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.
In: Proceedings of the Conference on Robot Learning (CoRL), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DanielTanneberg...],
[Conference or Workshop Item]

Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Efficient Online Adaptation with Stochastic Recurrent Neural Networks.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DanielTanneberg...],
[Conference or Workshop Item]

Thiem, S. and Stark, S. and Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Simulation of the underactuated Sake Robotics Gripper in V-REP.
In: Workshop at the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/PubElmarRuecker...],
[Book Section]

Tanneberg, D. and Paraschos, A. and Peters, J. and Rueckert, E. (2016):
Deep Spiking Networks for Model-based Planning in Humanoids.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DanielTanneberg...],
[Conference or Workshop Item]

Traversaro, S. and Del Prete, A. and Ivaldi, S. and Nori, F. (2015):
Avoiding to rely on Inertial Parameters in Estimating Joint Torques with proximal F/T sensing.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Theodorou, E. and Peters, J. and Schaal, S. (2007):
Reinforcement Learning for Optimal Control of Arm Movements.
In: Abstracts of the 37st Meeting of the Society of Neuroscience, San Diego, CA, USA, November 3-7, 2007, [Conference or Workshop Item]

Theodorou, J. and Schaal, S. (2007):
Reinforcement Learning for Optimal Control of Arm Movements.
In: Abstracts of the 37st Meeting of the Society of Neuroscience., [Conference or Workshop Item]

Ting, J. and Mistry, M. and Nakanishi, J. and Peters, J. and Schaal, S. (2006):
A Bayesian approach to nonlinear parameter identification for rigid body dynamics.
cambridge, ma: mit press, In: Robotics: Science and Systems (RSS 2006), Philadelphia, Pennsylvania, USA, August 16-19, 2006, [Online-Edition: http://www-clmc.usc.edu/publications/T/ting-RSS2006.pdf],
[Conference or Workshop Item]

Ting, J. and Mistry, M. and Nakanishi, J. and Peters, J. and Schaal, S. (2006):
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics.
In: Robotics: Science and Systems (R:SS), Cambridge, MA: MIT Press, In: Acceptance Rate: 24%, [Conference or Workshop Item]

V

Veiga, F. and Edin, B. B. and Peters, J. (2018):
In-Hand Object Stabilization by Independent Finger Control.
In: IEEE Transactions on Robotics Journal, [Online-Edition: https://arxiv.org/pdf/1806.05031.pdf],
[Article]

Veiga, Filipe and Peters, Jan and Hermans, Tucker (2018):
Grip Stabilization of Novel Objects using Slip Prediction.
In: IEEE Transactions on Haptics, IEEE, ISSN 1939-1412,
DOI: 10.1109/TOH.2018.2837744,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Article]

Vinogradska, Julia (2018):
Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation.
Darmstadt, Technische Universität, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/7286],
[Ph.D. Thesis]

Vinogradska, J. and Bischoff, B. and Peters, J. (2018):
Approximate Value Iteration based on Numerical Quadrature.
In: IEEE Robotics and Automation Letters, pp. 1330-1337, 3, (2), ISSN 2377-3766, 2377-3774 (elektronisch),
[Article]

van Hoof, H. and Tanneberg, D. and Peters, J. (2017):
Generalized Exploration in Policy Search.
In: Machine Learning (MLJ), https://link.springer.com/content/pdf/10.1007%2Fs10994-017-5657-1.pdf, pp. 1705-1724, (9-10), [Online-Edition: https://link.springer.com/content/pdf/10.1007%2Fs10994-017-5...],
[Article]

van Hoof, H. and Neumann, G. and Peters, J. (2017):
Non-parametric Policy Search with Limited Information Loss.
In: Journal of Machine Learning Research, pp. 1-46, (73), ISSN 0885-6125,
[Online-Edition: https://dl.acm.org/citation.cfm?id=3176817],
[Article]

Vinogradska, J. and Bischoff, B. and Nguyen-Tuong, D. and Peters, J. (2017):
Stability of Controllers for Gaussian Process Forward Models.
In: Journal of Machine Learning Research, pp. 1-37, 18, (100), [Online-Edition: http://delivery.acm.org/10.1145/3180000/3176844/p3483-vinogr...],
[Article]

van Hoof, Herke (2016):
Machine Learning through Exploration for Perception-Driven Robotics.
Darmstadt, Technische Universität Darmstadt, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/5749],
[Ph.D. Thesis]

Veiga, F. F. and Peters, J. (2016):
Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws?
[Online-Edition: https://arxiv.org/pdf/1612.08202.pdf],
[Article]

Vinogradska, J. and Bischoff, B. and Nguyen-Tuong, D. and Romer, A. and Schmidt, H. and Peters, J. (2016):
Stability of Controllers for Gaussian Process Forward Models.
In: Proceedings of the International Conference on Machine Learning (ICML), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Publications/Vinogra...],
[Conference or Workshop Item]

van Hoof, H. and Chen, N. and Karl, M. and van der Smagt, P. and Peters, J. (2016):
Stable Reinforcement Learning with Autoencoders for Tactile and Visual Data.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

van Hoof, H. and Peters, J. and Neumann, G. (2015):
Learning of Non-Parametric Control Policies with High-Dimensional State Features.
In: Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Veiga, F. F. and van Hoof, H. and Peters, J. and Hermans, T. (2015):
Stabilizing Novel Objects by Learning to Predict Tactile Slip.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

van Hoof, H. and Hermans, T. and Neumann, G. and Peters, J. (2015):
Learning Robot In-Hand Manipulation with Tactile Features.
In: International Conference on Humanoid Robots (HUMANOIDS), Seoul, 3.-5.11.2015, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=736...],
[Conference or Workshop Item]

van Hoof, H. and Kroemer, O. and Peters, J. (2014):
Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments.
In: IEEE Transactions on Robotics (TRo)",, pp. 1198-1209, (5), ISSN 1552-3098,
[Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/hoof2014...],
[Article]

van Hoof, H. and Kroemer, O. and Peters, J. (2013):
Probabilistic Interactive Segmentation for Anthropomorphic Robots in Cluttered Environments.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Vitzthum, Arnd and Ben Amor, Henri and Heumer, Guido and Jung, Bernhard (2012):
XSAMPL3D - An Action Description Language for the Animation of Virtual Characters.
In: JVRB - Journal of Virtual Reality and Broadcasting, 9, (1), DOI: 10.20385/1860-2037/9.2012.1,
[Online-Edition: http://www.jvrb.org/9.2012/3262/920121.pdf],
[Article]

van Hoof, H. and Kroemer, O. and Ben Amor, H. and Peters, J. (2012):
Maximally Informative Interaction Learning for Scene Exploration.
In: Proceedings of the International Conference on Robot Systems (IROS), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

van Hoof, H. and van der Zant, T. and Wiering, M. A. (2011):
Adaptive Visual Face Tracking for an Autonomous Robot.
In: Belgian-Dutch Artificial Intelligence Conference (BNAIC 11), [Online-Edition: http://robot-learning.de/uploads/Publications/VanHoof_BNAIC_...],
[Conference or Workshop Item]

Vijayakumar, S. and Da Souza, A. and Peters, J. and Conradt, J. and Rutkowski, T. and Ijspeert, A. and Nakanishi, J. and Inoue, M. and Shibata, T. and Wiryo, A. and Itti, L. and Amari, S. and Schaal, S. (2002):
Real-Time Statistical Learning for Oculomotor Control and Visuomotor Coordination.
In: Advances in Neural Information Processing Systems (NIPS), Demonstration Track, [Conference or Workshop Item]

Vijayakumar, S. and Da Souza, A. and Peters, J. and Conradt, J. and Rutkowski, T. and Ijspeert, A. and Nakanishi, J. and Inoue, M. and Shibata, T. and Wiryo, A. and Itti, L. and Amari, S. and Schaal, S. (2002):
Real-Time Statistical Learning for Oculomotor Control and Visuomotor Coordination.
In: Demonstration Track of Advances in Neural Information Processing Systems 15 (NIPS 2002), Cambridge, MA: MIT Press, [Conference or Workshop Item]

W

Wang, Z. and Boularias, A. and Muelling, K. and Schoelkopf, B. and Peters, J. (2017):
Anticipatory Action Selection for Human-Robot Table Tennis.
In: Artificial Intelligence, pp. 399-414, 247, ISSN 0004-3702,
[Online-Edition: http://www.sciencedirect.com/science/article/pii/S0004370214...],
[Article]

Wiemeyer, J. and Peters, J. and Kollegger, G. and Ewerton, M. (2017):
BIMROB - Bidirektionale Interaktion von Mensch und Roboter beim Bewegungslernen.
In: DVS Sportmotorik 2017, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/MarcoEwerton/wi...],
[Conference or Workshop Item]

Wilbers, D. and Lioutikov, R. and Peters, J. (2017):
Context-Driven Movement Primitive Adaptation.
In: 2017 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Singapore, Singapore, 29 May-3 June 2017, DOI: 10.1109/ICRA.2017.7989396,
[Conference or Workshop Item]

Weber, P. and Rückert, E. and Calandra, R. and Peters, J. and Beckerle, Philipp (2016):
A Low-cost Sensor Glove with Vibrotactile Feedback and Multiple Finger Joint and Hand Motion Sensing for Human-Robot Interaction.
In: IEEE International Symposium on Robot and Human Interactive Communication, Columbia University, New York City, USA, August 26-31, 2016, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/ElmarR%c3%bccke...],
[Conference or Workshop Item]

Wahrburg, A. and Zeiss, S. and Matthias, B. and Peters, J. and Ding, H. (2015):
Combined Pose-Wrench and State Machine Representation for Modeling Robotic Assembly Skills.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=735...],
[Conference or Workshop Item]

Wierstra, D. and Schaul, T. and Glasmachers, T. and Sun, Y. and Peters, J. and Schmidhuber, J. (2014):
Natural Evolution Strategies.
In: Journal of Machine Learning Research, pp. 949-980, 15, (March), [Online-Edition: http://jmlr.org/papers/volume15/wierstra14a/wierstra14a.pdf],
[Article]

Wang, Zhikun (2013):
Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models.
TU Darmstadt, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/3617],
[Ph.D. Thesis]

Wang, Z. and Muelling, K. and Deisenroth, M. P. and Ben Amor, H. and Vogt, D. and Schoelkopf, B. and Peters, J. (2013):
Probabilistic Movement Modeling for Intention Inference in Human-Robot Interaction.
In: International Journal of Robotics Research (IJRR)",, pp. 841-858, (7), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Article]

Wang, Z. and Deisenroth, M and Ben Amor, H. and Vogt, D. and Schoelkopf, B. and Peters, J. (2012):
Probabilistic Modeling of Human Movements for Intention Inference.
In: Proceedings of Robotics: Science and Systems (R:SS), University of Sydney, Sydney, July 9-13, 2012, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Wang, Z. and Boularias, A. and Mülling, K. and Peters, J. (2011):
Modeling Opponent Actions for Table-Tennis Playing Robot.
In: AAAI-11 Student Abstract and Poster Program, [Conference or Workshop Item]

Wang, Z. and Lampert, C. H. and Muelling, K. and Schoelkopf, B. and Peters, J. (2011):
Learning Anticipation Policies for Robot Table Tennis.
In: IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), San Francisco, California, September 25-30, 2011, [Online-Edition: http://robot-learning.de/uploads/Publications/Wang_IROS_2011...],
[Conference or Workshop Item]

Wang, Z. and Boularias, A. and Muelling, K. and Peters, J. (2011):
Balancing Safety and Exploitability in Opponent Modeling.
In: Twenty-Fifth National Conference on Artificial Intelligence (AAAI), San Francisco, California, August 7–11, 2011, [Online-Edition: http://robot-learning.de/uploads/Publications/Wang_AAAI_2011...],
[Conference or Workshop Item]

Wang, Z. and Boularias, A. and Mülling, K. and Peters, J. (2011):
Balancing Safety and Exploitability in Opponent Modeling.
In: Proceedings of the Twenty-Fourth National Conference on Artificial Intelligence (AAAI), In: Acceptance Rate: 24.8%, [Conference or Workshop Item]

Wang, Zhikun and Lampert, Christoph H. and Mülling, Katharina and Schölkopf, Bernhard and Peters, Jan (2011):
Learning Anticipation Policies for Robot Table Tennis.
In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, IEEE, pp. 332-337, [Book Section]

Wierstra, D. and Foerster, A. and Peters, J. and Schmidhuber, J. (2010):
Recurrent Policy Gradients.
In: Logic Journal of IGPL Advance Access, pp. 620-634, 18, DOI: 10.1093/jigpal/jzp049,
[Online-Edition: http://robot-learning.de/uploads/Publications/jzp049v1_5879[...],
[Article]

Wierstra, D. and Förster, A. and Peters, J. and Schmidhuber, J. (2010):
Recurrent Policy Gradients.
In: Logic Journal of the IGPL, pp. 620-634, (18(5)), [Article]

Wierstra, D. and Schaul, T. and Peters, J. and Schmidhuber, J. (2008):
Natural Evolution Strategies.
In: 2008 IEEE Congress on Evolutionary Computation, Hong Kong, China, 1-6 June 2008, [Online-Edition: http://www-clmc.usc.edu/publications/W/wierstra-CEC2008.pdf],
[Conference or Workshop Item]

Wierstra, D. and Schaul, T. and Peters, J. and Schmidthuber, J. (2008):
Fitness Expectation Maximization.
In: 10th International Conference on Parallel Problem Solving from Nature (PPSN 2008), Dortmund, Germany, 13.-17. September 2008, DOI: 10.1007/978-3-540-87700-4,
[Online-Edition: http://www-clmc.usc.edu/publications/W/wierstra_PPSN08.pdf],
[Conference or Workshop Item]

Wierstra, D. and Schaul, T. and Peters, J. and Schmidhuber, J. (2008):
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Prague, Czech Republic, September 3-6, 2008, DOI: 10.1007/978-3-540-87536-9_42,
[Online-Edition: http://www-clmc.usc.edu/publications/W/wierstra_ICANN08.pdf],
[Conference or Workshop Item]

Wierstra, D. and Schaul, T. and Peters, J. and Schmidthuber, J. (2008):
Fitness Expectation Maximization.
In: Proceedings of the International Conference on Parallel Problem Solving from Nature (PPSN), [Conference or Workshop Item]

Wierstra, D. and Schaul, T. and Peters, J. and Schmidhuber, J. (2008):
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), [Conference or Workshop Item]

Wierstra, D. and Schaul, T. and Peters, J. and Schmidhuber, J. (2008):
Natural Evolution Strategies.
In: 2008 IEEE Congress on Evolutionary Computation, [Conference or Workshop Item]

Wierstra, D. and Foerster, A. and Peters, J. and Schmidhuber, J. (2007):
Solving Deep Memory POMDPs with Recurrent Policy Gradients.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Porto, Portugal, September 9-13, 2007, [Online-Edition: http://www-clmc.usc.edu/publications//D/Wierstra_ICANN_2007....],
[Conference or Workshop Item]

Wierstra, D. and Förster, A. and Peters, J. and Schmidhuber, J. (2007):
Solving Deep Memory POMDPs with Recurrent Policy Gradients.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), [Conference or Workshop Item]

Y

Yi, Z. and Zhang, Y. and Peters, J. (2018):
Biomimetic Tactile Sensors and Signal Processing with Spike Trains: A Review.
In: Sensors and Actuators A: Physical, pp. 41-52, 269, ISSN 0924-4247,
[Article]

Yi, Z. and Zhang, Y. and Peters, J. (2017):
Bioinspired Tactile Sensor for Surface Roughness Discrimination.
In: Sensors and Actuators A: Physical Volume, pp. 46-53, 255, [Online-Edition: http://www.sciencedirect.com/science/article/pii/S0924424716...],
[Article]

Yi, Z. and Calandra, R. and Veiga, F. and van Hoof, H. and Hermans, T. and Zhang, Y. and Peters, J. (2016):
Active Tactile Object Exploration with Gaussian Processes.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Publications/Other/i...],
[Conference or Workshop Item]

Yi, Z. and Zhang, Y. and Peters, J. (2016):
Surface Roughness Discrimination Using Bioinspired Tactile Sensors.
In: Proceedings of the 16th International Conference on Biomedical Engineering, [Conference or Workshop Item]

This list was generated on Sun Oct 20 01:27:52 2019 CEST.