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Number of items at this level (without sub-levels): 534.

A

Arenz, Julian Oleg (2021):
Sample-Efficient I-Projections for Robot Learning. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.12921/tuprints-00014271,
[Ph.D. Thesis]

Akrour, R. ; Peters, J. ; Neuman, G. (2018):
Constraint-Space Projection Direct Policy Search.
European Workshops on Reinforcement Learning (EWRL), Lille, France, [Conference or Workshop Item]

Akrour, R. ; Veiga, F. ; Peters, J. ; Neuman, G. (2018):
Regularizing Reinforcement Learning with State Abstraction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Abdulsamad, H. ; Arenz, O. ; Peters, J. ; Neumann, G. (2017):
State-Regularized Policy Search for Linearized Dynamical Systems.
Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), [Conference or Workshop Item]

Akrour, R. ; Sorokin, D. ; Peters, J. ; Neumann, G. (2017):
Local Bayesian Optimization of Motor Skills.
Proceedings of the International Conference on Machine Learning (ICML), [Conference or Workshop Item]

Arenz, O. ; Abdulsamad, H. ; Neumann, G. (2016):
Optimal Control and Inverse Optimal Control by Distribution Matching.
Proceedings of the International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Abdolmaleki, A. ; Lau, N. ; Reis, L. ; Peters, J. ; Neumann, G. (2016):
Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller.
In: Journal of Intelligent & Robotic Systems, 83 (3-4), pp. 393-408. [Article]

Akrour, R. ; Abdolmaleki, A. ; Abdulsamad, H. ; Neumann, G. (2016):
Model-Free Trajectory Optimization for Reinforcement Learning.
In: Proceedings of the International Conference on Machine Learning (ICML),
[Conference or Workshop Item]

Azad, M. ; Ortenzi, V. ; Lin, C. ; Rueckert, E. ; Mistry, M. (2016):
Model Estimation and Control of Complaint Contact Normal Force.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS),
[Conference or Workshop Item]

Abdolmaleki, A. ; Lioutikov, R. ; Peters, J. ; Lau, N. ; Reis, L. ; Neumann, G. (2015):
Model-Based Relative Entropy Stochastic Search.
mit press, Advances in Neural Information Processing Systems (NIPS), [Conference or Workshop Item]

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

Alvaro, Mauricio A. ; Peters, Jan ; Schoelkopf, Bernhard ; Lawrence, Neil D. (2010):
Switched Latent Force Models for Movement Segmentation.
In: Advances in neural information processing systems 23 : Proceedings of the 2010 Conference, pp. 55-63,
Red Hook, NY : Curran, Neural Information Processing Systems Foundation, 24th Annual Conference on Neural Information Processing Systems 2010, Vancouver, Canada, 2010.12.06-09, [Conference or Workshop Item]

B

Büchler, Dieter (2019):
Robot Learning for Muscular Systems. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.25534/tuprints-00017210,
[Ph.D. Thesis]

Brandherm, Florian ; Peters, Jan ; Neumann, Gerhard ; Akrour, Riad (2019):
Learning Replanning Policies with Direct Policy Search.
In: IEEE Robotics and Automation Letters, 4 (2), pp. 2196- 2203. IEEE, e-ISSN 2377-3766,
DOI: 10.1109/LRA.2019.2901656,
[Article]

Belousov, Boris ; Peters, Jan (2019):
Entropic Regularization of Markov Decision Processes.
In: Entropy, 21 (7), MDPI, ISSN 1099-4300,
DOI: 10.3390/e21070674,
[Article]

Buechler, Dieter ; Calandra, Roberto ; Schoelkopf, Bernhard ; Peters, Jan (2018):
Control of Musculoskeletal Systems using Learned Dynamics Models.
In: IEEE Robotics and Automation Letters, 3 (4), pp. 3161-3168. 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, [Master Thesis]

Belousov, B. ; Peters, J. (2018):
Mean squared advantage minimization as a consequence of entropic policy improvement regularization.
The 14th European Workshop on Reinforcement Learning (EWRL 2018), Lille, France, October 1-3, 2018, [Conference or Workshop Item]

Belousov, B. ; Peters, J. (2017):
f-Divergence constrained policy improvement.
In: Journal of Machine Learning Research X, [Article]

Belousov, B. ; Neumann, G. ; Rothkopf, C. A. ; Peters, J. (2017):
Catching heuristics are optimal control policies.
13th Karniel Computational Motor Control Workshop, Be'er Sheva, Israel, 14.-16.03.2017, [Conference or Workshop Item]

Busch, Baptiste ; Maeda, Guilherme ; Mollard, Yoan ; Demangeat, Marie ; Lopes, Manuel (2017):
Postural Optimization for an Ergonomic Human-Robot Interaction.
IEEE, 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. ; Ott, H. ; 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, Boris ; Neumann, Gerhard ; Rothkopf, Constantin A. ; Peters, Jan R. (2016):
Catching heuristics are optimal control policies.
pp. 1426-1434, 30th Conference on Neural Information Processing Systems, Barcelona, Spain, 05.-10.12.2016, [Conference or Workshop Item]

Bocsi, B. ; Csato, L. ; Peters, J. (2014):
Indirect Robot Model Learning for Tracking Control.
In: Advanced Robotics, [Article]

Bischoff, B. ; Nguyen-Tuong, D. ; Hoof, H. van ; Rasmussen, C. E. ; Knoll, A. ; Peters, J. ; Deisenroth, M. P. (2014):
Policy Search For Learning Robot Control Using Sparse Data.
Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Ben Amor, H. ; Neumann, G. ; Kamthe, S. ; Kroemer, O. ; Peters, J. (2014):
Interaction Primitives for Human-Robot Cooperation Tasks.
Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Brandl, S. ; Kroemer, O. ; Peters, J. (2014):
Generalizing Pouring Actions Between Objects using Warped Parameters.
International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Conference or Workshop Item]

Bocsi, B. ; Csato, L. ; Peters, J. (2013):
Alignment-based Transfer Learning for Robot Models.
International Joint Conference on Neural Networks (IJCNN), Dallas, Texas, USA, Aug 4, 2013 - Aug 9, 2013, [Conference or Workshop Item]

Ben Amor, H. ; Vogt, D. ; Ewerton, M. ; Berger, E. ; Jung, B. ; Peters, J. (2013):
Learning Responsive Robot Behavior by Imitation.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Berger, E. ; Vogt, D. ; Haji-Ghassemi, N. ; Jung, B. ; Ben Amor, H. (2013):
Inferring Guidance Information in Cooperative Human-Robot Tasks.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Bocsi, B. ; Hennig, P. ; Csato, L. ; Peters, J. (2012):
Learning Tracking Control with Forward Models.
Proceedings of the International Conference on Robotics and Automation (ICRA), St. Paul, Minnesota, USA, May 14-18, 2012, [Conference or Workshop Item]

Boularias, A. ; Kroemer, O. ; Peters, J. (2012):
Structured Apprenticeship Learning.
Proceedings of the European Conference on Machine Learning (ECML), Bristol, UK, September 24-28, 2012, [Conference or Workshop Item]

Ben Amor, H. ; Kroemer, O. ; Hillenbrand, U. ; Neumann, G. ; Peters, J. (2012):
Generalization of Human Grasping for Multi-Fingered Robot Hands.
Proceedings of the International Conference on Robot Systems (IROS), [Conference or Workshop Item]

Boularias, A. ; Kroemer, O. ; Peters, J. (2012):
Algorithms for Learning Markov Field Policies.
Advances in Neural Information Processing Systems 26 (NIPS 2012), [Conference or Workshop Item]

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

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

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

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

Bocsi, B. ; Nguyen-Tuong, D. ; Csato, L. ; Schoelkopf, B. ; Peters, J. (2011):
Learning Inverse Kinematics with Structured Prediction.
IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), San Francisco, California, September 25-30, 2011, [Conference or Workshop Item]

Boularias, A. ; Kober, J. ; Peters, J. (2011):
Relative Entropy Inverse Reinforcement Learning.
Proceedings of Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011), Fort Lauderdale, FL, USA, April 11-13, 2011, [Conference or Workshop Item]

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

Burdet, E. ; Tee, K. P. ; Chew, C. M. ; Peters, J. ; Bt, V. L. (2001):
Hybrid IDM/Impedance Learning in Human Movements.
First International Symposium on Measurement, Analysis and Modeling of Human Functions Proceedings, Sapporo, Japan, [Conference or Workshop Item]

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

C

Calandra, Roberto (2017):
Bayesian Modeling for Optimization and Control in Robotics.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Calandra, R. ; Peters, J. ; Rasmussen, C. E. ; Deisenroth, M. P. (2016):
Manifold Gaussian Processes for Regression.
In: Proceedings of the International Joint Conference on Neural Networks (IJCNN),
[Conference or Workshop Item]

Calandra, R. ; Ivaldi, S. ; Deisenroth, M. ; 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), pp. 690-695,
Seoul, [Conference or Workshop Item]

Calandra, R. ; Seyfarth, A. ; Peters, J. ; Deisenroth, M. (2015):
Bayesian Optimization for Learning Gaits under Uncertainty.
In: Annals of Mathematics and Artificial Intelligence (AMAI), [Article]

Calandra, R. ; Ivaldi, S. ; Deisenroth, M. ; Rueckert, E. ; 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. ; Seyfarth, A. ; Peters, J. ; Deisenroth, M. P. (2014):
An Experimental Comparison of Bayesian Optimization for Bipedal Locomotion.
Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Calandra, R. ; Gopalan, N. ; Seyfarth, A. ; Peters, J. ; 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, [Conference or Workshop Item]

Chebotar, Y. ; Kroemer, O. ; Peters, J. (2014):
Learning Robot Tactile Sensing for Object Manipulation.
IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Chicago, IL, September 2014, [Conference or Workshop Item]

Colome, A. ; Neumann, G. ; Peters, J. ; Torras, C. (2014):
Dimensionality Reduction for Probabilistic Movement Primitives.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Conference or Workshop Item]

Calandra, R. ; Raiko, T. ; Deisenroth, M. P. ; Montesino Pouzols, F. (2012):
Learning Deep Belief Networks from Non-Stationary Streams.
International Conference on Artificial Neural Networks (ICANN), [Conference or Workshop Item]

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

Chiappa, Silvia ; Peters, Jan (2010):
Movement extraction by detecting dynamics switches and repetitions.
In: Advances in neural information processing systems 23 : Proceedings of the 2010 Conference, pp. 388-396,
Red Hook, NY : Curran, Neural Information Processing Systems Foundation, 24th Annual Conference on Neural Information Processing Systems 2010, Vancouver, Canada, 2010.12.06-09, [Conference or Workshop Item]

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

Chiappa, Silvia ; Kober, Jens ; 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, 22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS), Vancouver, Canada, 2008.12.08-10, [Conference or Workshop Item]

D

Dermy, O. ; Paraschos, A. ; Ewerton, M. ; Charpillet, F. ; Peters, J. ; Ivaldi, S. (2017):
Prediction of intention during interaction with iCub with Probabilistic Movement Primitives.
In: Frontiers in Robotics and AI, p. 45. [Article]

Delfa Victoria, Juan Manuel (2016):
Automated Hierarchical, Forward-Chaining Temporal Planner for Planetary Robots Exploring Unknown Environments.
Darmstadt, Technische Universität Darmstadt,
[Ph.D. Thesis]

Daniel, Christian (2016):
Learning Hierarchical Policies from Human Feedback.
Darmstadt, Technische Universität Darmstadt,
[Ph.D. Thesis]

Daniel, Christian ; Hoof, Herke van ; Peters, Jan ; Neumann, Gerhard (2016):
Probabilistic Inference for Determining Options in Reinforcement Learning.
In: Machine Learning, 104 (2-3), pp. 337-357. [Article]

Dezfuli, Niloofar (2015):
Novel Interaction Concepts for Event Participation Through Social Television.
TU Darmstadt,
[Ph.D. Thesis]

Daniel, C. ; Kroemer, O. ; Viering, M. ; Metz, J. ; Peters, J. (2015):
Active Reward Learning with a Novel Acquisition Function.
In: Autonomous Robots, 39 (3), pp. 389-405. Springer, ISSN 0929-5593,
[Article]

Dann, C. ; Neumann, G. ; 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), pp. 359-360,
[Conference or Workshop Item]

Droniou, A. ; Ivaldi, S. ; Sigaud, O. (2015):
Deep unsupervised network for multimodal perception, representation and classification.
In: Robotics and Autonomous Systems, 71, pp. 83-98. [Article]

Dann, C. ; Neumann, G. ; Peters, J. (2014):
Policy Evaluation with Temporal Differences: A Survey and Comparison.
In: Journal of Machine Learning Research 15 (2014) 809-883, 15 (March), pp. 809-883. [Article]

Deisenroth, M. P. ; Fox, D. ; Rasmussen, C. E. (2014):
Gaussian Processes for Data-Efficient Learning in Robotics and Control.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, [Article]

Deisenroth, M. P. ; Englert, P. ; Peters, J. ; Fox, D. (2014):
Multi-Task Policy Search for Robotics.
Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong,, May 31 - June 7, 2014, [Conference or Workshop Item]

Daniel, C. ; Viering, M. ; Metz, J. ; Kroemer, O. ; Peters, J. (2014):
Active Reward Learning.
Proceedings of Robotics: Science & Systems (R:SS), [Conference or Workshop Item]

Daniel, C. ; Neumann, G. ; Kroemer, O. ; Peters, J. (2013):
Learning Sequential Motor Tasks.
Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, May 6-10, 2013, [Conference or Workshop Item]

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

Deisenroth, M. P. ; Neumann, G. ; Peters, J. (2013):
A Survey on Policy Search for Robotics.
In: Foundations and Trends in Robotics, 2 (1-2), pp. 388-403. Foundations and Trends R © in Robotics Vol. 2, Nos. 1–2 (2011) 1–142 c ©, DOI: 10.1561/2300000021,
[Article]

Daniel, C. ; Neumann, G. ; Peters, J. (2012):
Hierarchical Relative Entropy Policy Search.
International Conference on Artificial Intelligence and Statistics (AISTATS 2012), La Palma, Canary Islands, April 21-23, 2012, [Conference or Workshop Item]

Deisenroth, M. P. ; Turner, R. ; Huber, M. ; Hanebeck, U. D. ; Rasmussen, C. E. (2012):
Robust Filtering and Smoothing with Gaussian Processes.
In: IEEE Transactions on Automatic Control, 57 (7), pp. 1865-1871. IEEE, ISSN 0018-9286,
[Article]

Deisenroth, M. P. ; Mohamed, S. (2012):
Expectation Propagation in Gaussian Process Dynamical Systems.
mit press, Advances in Neural Information Processing Systems 26 (NIPS), Cambridge, MA: MIT Press., Lake Tahoe, Nevada, December 3-8, 2012, [Conference or Workshop Item]

Deisenroth, M. P. ; Calandra, R. ; Seyfarth, A. ; Peters, J. (2012):
Toward Fast Policy Search for Learning Legged Locomotion.
Proceedings of the International Conference on Robot Systems (IROS), Vilamoura, Algarve, Portugal, October 7-12, 2012, [Conference or Workshop Item]

Daniel, C. ; Neumann, G. ; Peters, J. (2012):
Learning Concurrent Motor Skills in Versatile Solution Spaces.
Proceedings of the International Conference on Robot Systems (IROS), [Conference or Workshop Item]

Deisenroth, M. P. ; Peters, J. (2012):
Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise.
Proceedings of the European Workshop on Reinforcement Learning (EWRL), [Conference or Workshop Item]

Detry, R. ; Kraft, D. ; Krömer, O. ; Bodenhagen, L. ; Peters, J. ; Krüger, N. ; Piater, J. (2011):
Learning Grasp Affordance Densities.
In: doi: 10.2478/s13230-011-0012-x, In: Paladyn Journal of Behavioral Robotics, (2(1)), pp. 1-17. [Article]

Detry, R. ; Kraft, D. ; Kroemer, O. ; Peters, J. ; Krueger, N. ; Piater, J. (2011):
Learning Grasp Affordance Densities.
(1), pp. 1-17. [Article]

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

Detry, R. ; Baseski, E. ; Popovic, M. ; Touati, Y. ; Krüger, N. ; Kroemer, O. ; Peters, J. ; Piater, J. (2010):
Learning Continuous Grasp Affordances by Sensorimotor Exploration.
In: Studies in Computational Intelligence, 264, In: From Motor Learning to Interaction Learning in Robots, pp. 451-465, Berlin, Springer, [Book Section]

Deisenroth, M. P. ; Rasmussen, C. E. ; Peters, J. (2009):
Gaussian Process Dynamic Programming.
In: doi: 10.1016/j.neucom.2008.12.019, In: Neurocomputing, (72(7-9)), pp. 1508-1524. [Article]

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

Deisenroth, Marc Peter ; Rasmussen, Carl Edward ; Peters, Jan (2009):
Gaussian Process Dynamic Programming.
In: Neurocomputing, 72 (7-9), pp. 1508-1524. Elsevier, [Article]

Detry, R. ; Baseski, E. ; Popovic, M. ; Touati, Y. ; Krueger, N. ; Kroemer, O. ; Peters, J. ; Piater, J. (2009):
Learning Object-specific Grasp Affordance Densities.
International Conference on Development & Learning (ICDL 2009), Shanghai, China, 5-7 June 2009, [Conference or Workshop Item]

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

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

Deisenroth, M. P. ; Peters, J. ; Rasmussen, C. E. (2008):
Approximate Dynamic Programming with Gaussian Processes.
American Control Conference, Seattle, Washington, Friday, June 11-13, 2008, [Conference or Workshop Item]

Deisenroth, M. P. ; Rasmussen, C. E. ; Peters, J. (2008):
Model-Based Reinforcement Learning with Continuous States and Actions.
Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2008), Bruges, Belgium, April 23-25, 2008, [Conference or Workshop Item]

Daniel, C. ; Neumann, G. ; Kroemer, O. ; Peters, J. (2000):
Hierarchical Relative Entropy Policy Search.
In: Journal of Machine Learning Research, 1, pp. 1-48. [Article]

E

Ewerton, Marco ; Arenz, Oleg ; Maeda, Guilherme ; Koert, Dorothea ; Kolev, Zlatko ; Takahashi, Masaki ; Peters, Jan (2019):
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning.
In: Frontiers in Robotics and AI, 6, Frontiers, e-ISSN 2296-9144,
DOI: 10.25534/tuprints-00009657,
[Article]

Ewerton, Marco ; Rother, David ; Weimar, Jakob ; Kollegger, Gerrit ; Wiemeyer, Josef ; Peters, Jan ; 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,
[Article]

Ewerton, M. ; Kollegger, G. ; Maeda, G. ; Wiemeyer, J. ; Peters, J. (2017):
Iterative Feedback-basierte Korrekturstrategien beim Bewegungslernen von Mensch-Roboter-Dyaden.
DVS Sportmotorik 2017, [Conference or Workshop Item]

End, F. ; Akrour, R. ; Peters, J. ; Neumann, G. (2017):
Layered Direct Policy Search for Learning Hierarchical Skills.
Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Ewerton, M. ; Maeda, G. ; Rother, D. ; Weimar, J. ; Lotter, L. ; Kollegger, G. ; Wiemeyer, J. ; Peters, J. (2017):
Assisting the practice of motor skills by humans with a probability distribution over trajectories.
[Other]

Ewerton, M. ; Maeda, G. ; Neumann, G. ; Kisner, V. ; Kollegger, G. ; Wiemeyer, J. ; Peters, J. (2016):
Movement Primitives with Multiple Phase Parameters.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), pp. 201-206,
[Conference or Workshop Item]

Ewerton, M. ; Maeda, G. J. ; Kollegger, G. ; Wiemeyer, J. ; Peters, J. (2016):
Incremental Imitation Learning of Context-Dependent Motor Skills.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), pp. 351-358,
[Conference or Workshop Item]

Ewerton, M. ; Neumann, G. ; Lioutikov, R. ; Ben Amor, H. ; Peters, J. ; Maeda, G. (2015):
Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), pp. 1535-1542,
[Conference or Workshop Item]

Ewerton, M. ; Neumann, G. ; Lioutikov, R. ; Ben Amor, H. ; Peters, J. ; Maeda, G. (2015):
Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives.
[Other]

Ewerton, M. ; Maeda, G. J. ; Peters, J. ; 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), pp. 456-463,
[Conference or Workshop Item]

Englert, P. ; Paraschos, A. ; Peters, J. ; Deisenroth, M. P. (2013):
Model-based Imitation Learning by Probabilistic Trajectory Matching.
IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, May 6-10, 2013, [Conference or Workshop Item]

Englert, P. ; Paraschos, A. ; Peters, J. ; Deisenroth, M. P. (2013):
Probabilistic Model-based Imitation Learning.
In: Adaptive Behavior Journal, pp. 388-403. [Article]

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

Erkan, Ayşe Naz ; Detry, Renaud ; Altun, Yasemin ; Piater, Justus ; Peters, Jan ; 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,
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Epidural ECoG Online Decoding of Arm Movement Intention in Hemiparesis.
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Machine Learning through Exploration for Perception-Driven Robotics.
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Jointly Learning Trajectory Generation and Hitting Point Prediction in Robot Table Tennis.
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Learning Optimal Striking Points for A Ping-Pong Playing Robot.
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Learning Robot In-Hand Manipulation with Tactile Features.
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Approximate Inference for Long-Term Forecasting with Periodic Gaussian Processes.
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Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments.
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Probabilistic Interactive Segmentation for Anthropomorphic Robots in Cluttered Environments.
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Maximally Informative Interaction Learning for Scene Exploration.
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Adaptive Visual Face Tracking for an Autonomous Robot.
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Hachiya, H. ; Akiyama, T. ; Sugiyama, M. ; Peters, J. (2009):
Adaptive Importance Sampling for Value Function Approximation in On-policy Reinforcement Learning.
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Hachiya, H. ; Peters, J. ; Sugiyama, M. (2009):
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Hoffman, M. ; Freitas, N. de ; Doucet, A. ; Peters, J. (2009):
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Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats), [Conference or Workshop Item]

Hachiya, H. ; Akiyama, T. ; Sugiyama, M. ; Peters, J. (2009):
Efficient Data Reuse in Value Function Approximation.
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Hachiya, H. ; Peters, J. ; Sugiyama, M. (2009):
Adaptive Importance Sampling with Automatic Model Selection in Reward Weighted Regression.
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Hachiya, Hirotaka ; Peters, Jan ; Sugiyama, Masashi (2009):
Efficient Sample Reuse in EM-based Policy Search.
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Hachiya, Hirotaka ; Akiyama, Takayuki ; Sugiyama, Masashi ; Peters, Jan (2009):
Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning.
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Hoffman, Matthew ; Freitas, Nando de ; Doucet, Arnaud ; Peters, Jan (2009):
An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward.
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Hachiya, Hirotaka ; Akiyama, Takayuki ; Sugiyama, Masashi ; Peters, Jan (2009):
Efficient Data Reuse in Value Function Approximation.
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Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
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Hachiya, H. ; Akiyama, T. ; Sugiyama, M. ; Peters, J. (2008):
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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.
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Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. (Publisher's Version)
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Koert, Dorothea (2020):
Interactive Machine Learning for Assistive Robots. (Publisher's Version)
Darmstadt, Technische Universität,
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Optimal Trajectory Generation and Learning Control for Robot Table Tennis.
Darmstadt, Technische Universität,
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A Kernel-based Approach to Learning Contact Distributions for Robot Manipulation Tasks.
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Kollegger, Gerrit ; Ewerton, Marco ; Wiemeyer, Josef ; Peters, Jan (2017):
BIMROB – Bidirectional Interaction between human and robot for the learning of movements – Robot trains human – Human trains robot.
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BIMROB - Bidirectional Interaction between human and robot for the learning of movements - Robot trains human - Human trains robot.
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Kohlschuetter, J. ; Peters, J. ; Rueckert, E. (2016):
Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities.
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Koc, Okan ; Peters, Jan ; Maeda, Guilherme (2016):
A New Trajectory Generation Framework in Robotic Table Tennis.
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Demonstration Based Trajectory Optimization for Generalizable Robot Motions.
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Kollegger, G. ; Ewerton, M. ; Peters, J. ; Wiemeyer, J. (2016):
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Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks.
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Koc, O. ; Maeda, G. ; Neumann, G. ; Peters, J. (2015):
Optimizing Robot Striking Movement Primitives with Iterative Learning Control.
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Kamthe, S. ; Peters, J. ; Deisenroth, M. (2014):
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Kroemer, O. ; Peters, J. (2014):
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Data-Efficient Generalization of Robot Skills with Contextual Policy Search.
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Kroemer, O. ; Ben Amor, H. ; Ewerton, M. ; Peters, J. (2012):
Point Cloud Completion Using Extrusions.
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Kober, Jens (2012):
Learning Motor Skills: From Algorithms to Robot Experiments.
TU Darmstadt,
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Kroemer, O. ; Ugur, E. ; Oztop, E. ; Peters, J. (2012):
A Kernel-based Approach to Direct Action Perception.
Proceedings of the International Conference on Robotics and Automation (ICRA), St. Paul, Minnesota, USA, May 14-18, 2012, [Conference or Workshop Item]

Kober, Jens ; Wilhelm, Andreas ; Oztop, Erhan ; Peters, Jan (2012):
Reinforcement Learning to Adjust Parametrized Motor Primitives to New Situations.
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Kober, Jens ; Muelling, Katharina ; Peters, Jan (2012):
Learning Throwing and Catching Skills : Video Track.
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Kober, J. ; Peters, J. (2011):
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Krömer, O. ; Lampert, C. H. ; Peters, J. (2011):
Learning Dynamic Tactile Sensing with Robust Vision-based Training.
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Krömer, O. ; Peters, J. (2011):
A Non-Parametric Approach to Dynamic Programming.
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Kober, J. ; Oztop, E. ; Peters, J. (2011):
Reinforcement Learning to adjust Robot Movements to New Situations.
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Kober, J. ; Peters, J. (2011):
Learning Elementary Movements Jointly with a Higher Level Task.
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Kroemer, O. ; Peters, J. (2011):
A Flexible Hybrid Framework for Modeling Complex Manipulation Tasks.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Krömer, O. ; Peters, J. (2011):
Active Exploration for Robot Parameter Selection in Episodic Reinforcement Learning.
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Kober, J. ; Peters, J. (2011):
Policy Search for Motor Primitives in Robotics.
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Kroemer, O. ; Peters, J. (2011):
A Flexible Hybrid Framework for Modeling Complex Manipulation Tasks.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, 13.-19. Mai 2011, [Conference or Workshop Item]

Kroemer, O. ; Peters, J. (2011):
Active Exploration for Robot Parameter Selection in Episodic Reinforcement Learning.
Proceedings of the 2011 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL), DOI: 10.1109/ADPRL.2011.5967378,
[Conference or Workshop Item]

Kroemer, Oliver ; Lampert, Christoph H. ; Peters, Jan (2011):
Learning Dynamic Tactile Sensing with Robust Vision-based Training.
In: IEEE TRANSACTIONS ON ROBOTICS, 27 (3), pp. 545-557. [Article]

Kroemer, O. ; Peters, J. (2011):
A Non-Parametric Approach to Dynamic Programming.
mit press, Neural Information Processing Systems 25 (NIPS 2011), Granada, Spain. 2011, 12-14 December 2011, [Conference or Workshop Item]

Kober, J. ; Peters, J. (2011):
Learning Elementary Movements Jointly with a Higher Level Task.
IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), San Francisco, California, September 25-30, 2011, [Conference or Workshop Item]

Kober, J. ; Oztop, E. ; Peters, J. (2011):
Reinforcement Learning to adjust Robot Movements to New Situations.
Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI11), Barcelona, Catalonia, Spain, July 16–22, 2011, [Conference or Workshop Item]

Kober, J. ; Peters, J. (2010):
Imitation and Reinforcement Learning � Practical Algorithms for Motor Primitive Learning in Robotics.
In: doi: 10.1109/MRA.2010.936952, In: IEEE Robotics and Automation Magazine, 17(2), pp. 55-62, [Article]

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

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

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

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

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

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

Kober, J. ; Oztop, E. ; Peters, J. (2010):
Reinforcement Learning to adjust Robot Movements to New Situations.
Robotics: Science and Systems (R:SS), Zaragoza, SpainJune27-30, 2010, June 27-30, 2010, [Conference or Workshop Item]

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

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

Kober, J. ; Peters, J. (2010):
Imitation and Reinforcement Learning - Practical Algorithms for Motor Primitive Learning in Robotics.
In: IEEE Robotics & Automation Magazine, 17 (2), pp. 55-62. IEEE, ISSN Print ISSN: 1070-9932 Electronic ISSN: 1558-223X,
[Article]

Kober, Jens ; Mohler, Betty ; Peters, Jan (2010):
Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling.
In: Studies in Computational Intelligence, 264, In: From Motor Learning to Interaction Learning in Robots, pp. 209-225, Berlin, Heidelberg, Springer, ISBN Online ISBN 978-3-642-05181-4;Print ISBN 978-3-642-05180-7,
DOI: 10.1007/978-3-642-05181-4_10,
[Book Section]

Kober, J. ; Muelling, K. ; Kroemer, O. ; Lampert, C. H. ; Schoelkopf, B. ; Peters, J. (2010):
Movement Templates for Learning of Hitting and Batting.
IEEE International Conference on Robotics and Automation (ICRA), Anchorage, AK, USA, May 2010, DOI: 10.1109/ROBOT.2010.5509672,
[Conference or Workshop Item]

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

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

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

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

Kober, Jens ; Peters, Jan R. (2009):
Policy Search for Motor Primitives in Robotics.
In: Advances in neural information processing systems 21 : [proceedings],
Red Hook, NY, Curran, 22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS), Vancouver, Canada, 2008.12.08-10, [Conference or Workshop Item]

Kober, J. ; Peters, J. (2009):
Learning Motor Primitives for Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Kobe, Japan, May 12-17, 2009, [Conference or Workshop Item]

Kober, J. ; Peters, J. (2009):
Learning new basic Movements for Robotics.
Proceedings of Autonome Mobile Systeme (AMS 2009), [Conference or Workshop Item]

Kroemer, O. ; Detry, R. ; Piater, J. ; Peters, J. (2009):
Active Learning Using Mean Shift Optimization for Robot Grasping.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009), St. Louis, USA, 10-15 Oct. 2009, [Conference or Workshop Item]

Kober, J. ; Mohler, B. ; Peters, J. (2008):
Learning Perceptual Coupling for Motor Primitives.
International Conference on Intelligent Robot Systems (IROS), [Conference or Workshop Item]

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

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

Kober, J. (2008):
Reinforcement Learning for Motor Primitives.
TU Darmstadt,
[Ph.D. Thesis]

L

Löckel, Stefan Alexander (2022):
Machine Learning for Modeling and Analyzing of Race Car Drivers. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00020218,
[Ph.D. Thesis]

Lampariello, Roberto (2021):
Optimal Motion Planning for Object Interception and Capture. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00017617,
[Ph.D. Thesis]

Lutter, Michael (2021):
Inductive Biases in Machine Learning for Robotics and Control. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00020048,
[Ph.D. Thesis]

Lioutikov, Rudolf (2018):
Parsing Motion and Composing Behavior for Semi-Autonomous Manipulation.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Lioutikov, R. ; Maeda, G. ; Veiga, F. F. ; Kersting, K. ; 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),
2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, Australia, May 21-26, 2018, [Conference or Workshop Item]

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

Lopes, M. ; Peters, J. ; Piater, J. ; Toussaint, M. ; Baisero, A. ; Busch, B. ; Erkent, O. ; Kroemer, O. ; Lioutikov, R. ; Maeda, G. ; Mollard, Y. ; Munzer, T. ; Shukla, D. (2015):
Semi-Autonomous 3rd-Hand Robot.
Workshop on Cognitive Robotics in Future Manufacturing Scenarios, European Robotics Forum, Vienna, Austria, [Conference or Workshop Item]

Lioutikov, R. ; Neumann, G. ; Maeda, G. J. ; Peters, J. (2015):
Probabilistic Segmentation Applied to an Assembly Task.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS),
[Conference or Workshop Item]

Leischnig, S. ; Luettgen, S. ; Kroemer, O. ; Peters, J. (2015):
A Comparison of Contact Distribution Representations for Learning to Predict Object Interactions.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Luck, Kevin Sebastian (2014):
Latent Space Reinforcement Learning.
Darmstadt, TU Darmstadt, [Bachelor Thesis]

Lioutikov, R. ; Paraschos, A. ; Peters, J. ; Neumann, G. (2014):
Generalizing Movements with Information Theoretic Stochastic Optimal Control.
In: Journal of Aerospace Information Systems, 11 (9), pp. 579-595. [Article]

Lioutikov, R. ; Kroemer, O. ; Peters, J. ; Maeda, G. (2014):
Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot.
Proceedings of the 13th International Conference on Intelligent Autonomous Systems (IAS), [Conference or Workshop Item]

Luck, K. S. ; Neumann, G. ; Berger, E. ; Peters, J. ; Ben Amor, H. (2014):
Latent Space Policy Search for Robotics.
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Chicago, IL, 14-18 September 2014, [Conference or Workshop Item]

Lioutikov, R. ; Paraschos, A. ; Peters, J. ; Neumann, G. (2014):
Sample-Based Information-Theoretic Stochastic Optimal Control.
IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, May 31 - June 7, 2014, [Conference or Workshop Item]

Lampert, C. H. ; 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, (1), pp. 31-41. [Article]

Lampert, C. H. ; Peters, J. (2011):
Real-Time Detection of Colored Objects in Multiple Camera Streams with Off-the-Shelf Hardware Components.
In: doi: 10.1007/s11554-010-0168-3, In: Journal of Real-Time Image Processing, [Article]

Lampariello, R. ; Nguyen-Tuong, D. ; Castellini, C. ; Hirzinger, G. ; Peters, J. (2011):
Energy-optimal robot catching in real-time.
IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Lampariello, R. ; Nguyen-Tuong, D. ; Castellini, C. ; Hirzinger, G. ; Peters, J. (2011):
Energy-optimal collision-free catching of flying targets with nonlinear optimization and learning.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Lampert, C. H. ; Kroemer, O. (2010):
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning.
In: Lecture notes in computer science, 6312, In: Computer Vision - ECCV 2010,
Berlin, Springer, 11th European Conference on Computer Vision (ECCV 2010), DOI: 10.1007/978-3-642-15552-9_41,
[Conference or Workshop Item]

Lampert, C. H. ; Peters, J. (2009):
Active Structured Learning for High-Speed Object Detection.
Proceedings of the DAGM (Pattern Recognition), [Conference or Workshop Item]

Lampert, C. H. ; Peters, J. (2009):
A High-Speed Object Tracker from Off-the-Shelf Components.
First IEEE Workshop on Computer Vision for Humanoid Robots in Real Environments at ICCV 2009, [Conference or Workshop Item]

Lampert, C. H. ; Peters, J. (2009):
Active Structured Learning for High-Speed Object Detection.
pp. 221-231, Proceedings of the DAGM (Pattern Recognition), DOI: 10.1007/978-3-642-03798-6_23,
[Conference or Workshop Item]

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

M

Moos, Janosch ; Hansel, Kay ; Abdulsamad, Hany ; Stark, Svenja ; Clever, Debora ; Peters, Jan (2022):
Robust Reinforcement Learning: A Review of Foundations and Recent Advances. (Publisher's Version)
In: Machine Learning and Knowledge Extraction, 4 (1), pp. 276-315. MDPI, e-ISSN 2504-4990,
DOI: 10.26083/tuprints-00021118,
[Article]

Muratore, Fabio ; Ramos, Fabio ; Turk, Greg ; Yu, Wenhao ; Gienger, Michael ; Peters, Jan (2022):
Robot Learning From Randomized Simulations: A Review. (Publisher's Version)
In: Frontiers in Robotics and AI, 9, Frontiers, e-ISSN 2296-9144,
[Article]

Muratore, Fabio (2021):
Randomizing Physics Simulations for Robot Learning. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00019940,
[Ph.D. Thesis]

Manschitz, Simon (2018):
Learning Sequential Skills for Robot Manipulation Tasks.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Manschitz, S. ; Gienger, M. ; Kober, J. ; Peters, J. (2018):
Mixture of Attractors: A novel Movement Primitive Representation for Learning Motor Skills from Demonstrations.
In: IEEE Robotics and Automation Letters, 3 (2), pp. 926-933. ISSN 2377-3766, 2377-3774 (elektronisch),
[Article]

Muratore, F. ; Treede, F. ; Gienger, M. ; Peters, J. (2018):
Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment.
Conference on Robot Learning (CoRL), [Conference or Workshop Item]

Maeda, G. ; Neumann, G. ; Ewerton, M. ; Lioutikov, R. ; Kroemer, O. ; Peters, J. (2017):
Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks.
In: Autonomous Robots, 41 (3), pp. 593-612. ISSN 0929-5593,
[Article]

Maeda, G. ; Ewerton, M. ; Neumann, G. ; Lioutikov, R. ; Peters, J. (2017):
Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration.
In: International Journal of Robotics Research, 36 (13-14), pp. 1579-1594. [Article]

Maeda, G. ; Ewerton, M. ; Osa, T. ; Busch, B. ; Peters, J. (2017):
Active Incremental Learning of Robot Movement Primitives.
Proceedings of the Conference on Robot Learning (CoRL), [Conference or Workshop Item]

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

Modugno, V. ; Neumann, G. ; Rueckert, E. ; Oriolo, G. ; Peters, J. ; 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. ; Gienger, M. ; Kober, J. ; Peters, J. (2016):
Probabilistic Decomposition of Sequential Force Interaction Tasks into Movement Primitives.
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

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

Maeda, G. ; Maloo, A. ; Ewerton, M. ; Lioutikov, R. ; Peters, J. (2016):
Anticipative Interaction Primitives for Human-Robot Collaboration.
AAAI Fall Symposium Series. Shared Autonomy in Research and Practice, Arlington, VA, USA, [Conference or Workshop Item]

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

Manschitz, S. ; Kober, J. ; Gienger, M. ; 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),
[Conference or Workshop Item]

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

Maeda, G. ; Neumann, G. ; Ewerton, M. ; Lioutikov, R. ; 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),
[Conference or Workshop Item]

Merfels, Christian (2014):
Large-scale probabilistic feature mapping and tracking for autonomous driving.
TU Darmstadt, [Master Thesis]

Meyer, T. ; Peters, J. ; Zander, T. O. ; Schoelkopf, B. ; Grosse-Wentrup, M. (2014):
Predicting Motor Learning Performance from Electroencephalographic Data.
In: Journal of Neuroengineering and Rehabilitation, 11 (1), [Article]

Manschitz, S. ; Kober, J. ; Gienger, M. ; 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,
Proceedings of ISR/ROBOTIK 2014, München, 2-3 June 2014, [Conference or Workshop Item]

Muelling, K. ; Boularias, A. ; Schoelkopf, B. ; Peters, J. (2014):
Learning Strategies in Table Tennis using Inverse Reinforcement Learning.
In: Biological Cybernetics, (5), pp. 603-619. [Article]

Manschitz, S. ; Kober, J. ; Gienger, M. ; Peters, J. (2014):
Learning to Sequence Movement Primitives from Demonstrations.
IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Chicago, IL, September 2014, [Conference or Workshop Item]

Maeda, G. J. ; Ewerton, M. ; Lioutikov, R. ; Amor, H. B. ; Peters, J. ; Neumann, G. (2014):
Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives.
pp. 527-534, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Conference or Workshop Item]

Muelling, Katharina (2013):
Modeling and Learning of Complex Motor Tasks: A Case Study with Robot Table Tennis.
TU Darmstadt,
[Ph.D. Thesis]

Muelling, K. ; Kober, J. ; Kroemer, O. ; Peters, J. (2013):
Learning to Select and Generalize Striking Movements in Robot Table Tennis.
In: International Journal of Robotics Research, (3), pp. 263-279. https://doi.org/10.1177/0278364912472380, [Article]

Meyer, T. ; Peters, J. ; Broetz, D. ; Zander, T. ; Schoelkopf, B. ; Soekadar, S. ; Grosse-Wentrup, M. (2012):
A Brain-Robot Interface for Studying Motor Learning after Stroke.
Proceedings of the International Conference on Robot Systems (IROS), Vilamoura, Algarve [Portugal], October 7-12, 2012, [Conference or Workshop Item]

Muelling, K. ; Kober, J. ; Kroemer, O. ; Peters, J. (2012):
Learning to Select and Generalize Striking Movements in Robot Table Tennis.
Proceedings of the AAAI 2012 Fall Symposium on Robots that Learn Interactively from Human Teachers, [Conference or Workshop Item]

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

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

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2011):
A Biomimetic Approach to Robot Table Tennis.
In: Adaptive Behavior, 19 (5), pp. 359-376. Sage, DOI: 10.1177/1059712311419378,
[Article]

Morimura, T. ; Uchibe, E. ; Yoshimoto, J. ; Peters, J. ; Doya, K. (2010):
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning.
In: doi: 10.1162/neco.2009.12-08-922, In: Neural Computation, 22(2), pp.342-376, [Article]

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

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

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

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2010):
Simulating Human Table Tennis with a Biomimetic Robot Setup.
In: Lecture notes in computer science, 6226, In: From Animals to Animats 11 : Proceedings, pp. 273-282,
From Animals to Animats 11 : 11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris-Clos Lucé, France, August 25-28, 2010, DOI: https://doi.org/10.1007,
[Conference or Workshop Item]

Morimura, Tetsuro ; Uchibe, Eiji ; Yoshimoto, Junichiro ; Peters, Jan ; Doya, Kenji (2010):
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning.
In: Neural Computation, 22 (2), pp. 442-376. MIT Press, [Article]

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2010):
A Biomimetic Approach to Robot Table Tennis.
In: IEEE/RSJ International Conference on Intelligent Robots and Systems : Conference proceedings,
IEEE, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, 18-22 Oct. 2010, DOI: 10.1109/IROS.2010.5650305,
[Conference or Workshop Item]

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2010):
Learning Table Tennis with a Mixture of Motor Primitives.
In: 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids),
IEEE, 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2010), Nashville, TN, USA, 6-8 Dec. 2010, DOI: 10.1109/ICHR.2010.5686298,
[Conference or Workshop Item]

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

Muelling, K. ; Peters, J. (2009):
A computational model of human table tennis for robot application.
Autonome Mobile Systeme 2009 (AMS 2009), Karlsruhe, 3.-4. Dezember 2009, [Conference or Workshop Item]

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

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

Mohajerian, P. ; Peters, J. ; Ijspeert, A. ; Schaal, S. (2003):
A unifying computational framework for optimization and dynamic systems approaches to motor control.
Proceedings of the 10th Joint Symposium on Neural Computation (JSNC 2003), [Conference or Workshop Item]

Mohajerian, P. ; Peters, J. ; Ijspeert, A. ; Schaal, S. (2003):
A unifying computational framework for optimization and dynamic systems approaches to motor control.
Proceedings of the 10th Joint Symposium on Neural Computation (JSNC 2003), [Conference or Workshop Item]

N

Neumann, G. ; Daniel, C. ; Paraschos, A. ; Kupcsik, A. ; Peters, J. (2014):
Learning Modular Policies for Robotics.
In: Frontiers in Computational Neuroscience, DOI: 10.3389/fncom.2014.00062,
[Article]

Nori, F. ; Peters, J. ; Padois, V. ; Babic, J. ; Mistry, M. ; 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), pp. 81-92,
Proceedings of the Workshop on New Research Frontiers for Intelligent Autonomous Systems (NRF-IAS), [Conference or Workshop Item]

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

Nguyen-Tuong, Duy ; Peters, Jan (2012):
Online Kernel-based Learning for Task-Space Tracking Robot Control.
In: IEEE Transactions on Neural Networks and Learning Systems, 23 (9), pp. 1417-1425. DOI: 10.1109/TNNLS.2012.2201261,
[Article]

Nguyen-Tuong, D. ; Peters, J. (2011):
Incremental Sparsication for Real-time Online Model Learning.
In: doi: 10.1016/j.neucom.2010.06.033, In: Neurocomputing, 74(11), pp.1859-1867, [Article]

Nguyen-Tuong, D. ; Peters, J. (2011):
Model Learning in Robotics: a Survey.
In: doi: 10.1007/s10339-011-0404-1, In: Cognitive Processing, (12(4)), pp. 319-340. [Article]

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

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

Nguyen-Tuong, D. ; Peters, J. (2011):
Learning Task-Space Tracking Control with Kernels.
IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), San Francisco, California, September 25-30, 2011, [Conference or Workshop Item]

Nguyen-Tuong, D. ; Peters, J. (2011):
Model Learning in Robotics: a Survey.
In: Cognitive Processing, 12 (4), pp. 319-340. DOI: 10.1007/s10339-011-0404-1,
[Article]

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

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

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

Nguyen-Tuong, Duy ; Seeger, Matthias ; Peters, Jan (2010):
Real-Time Local GP Model Learning.
In: Studies in Computational Intelligence, In: From Motor Learning to Interaction Learning in Robots, pp. 193-207, Berlin, Heidelberg, Springer, ISBN Online ISBN 978-3-642-05181-4;Print ISBN 978-3-642-05180-7,
DOI: 10.1007/978-3-642-05181-4_9,
[Book Section]

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

Nguyen-Tuong, D. ; Seeger, M. ; Peters, J. (2009):
Model Learning with Local Gaussian Process Regression.
In: doi: 10.1163/016918609X12529286896877, In: Advanced Robotics, 23 (15), pp. 2015-2034. [Article]

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

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

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

Nguyen-Tuong, Duy ; Seeger, Matthias ; 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, 22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS), December 8 - 10, 2008, Vancouver, Vancouver, B. C., Canada, [Conference or Workshop Item]

Neumann, Gerhard ; Peters, Jan R. (2009):
Fitted Q-iteration by Advantage Weighted Regression.
In: Advances in neural information processing systems 21 : [proceedings],
Red Hook, NY, Curran, 22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS), Vancouver, Canada, 2008.12.08-10, [Conference or Workshop Item]

Nguyen-Tuong, Duy ; Schoelkopf, Bernhard ; 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, IROS 2009, St. Louis, MO, USA, 10-15 Oct. 2009, [Conference or Workshop Item]

Neumann, Gerhard ; Maass, Wolfgang ; Peters, Jan (2009):
Learning Complex Motions by Sequencing Simpler Motion Templates.
In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 753-760,
ACM, ICML '09, Montreal, Quebec, Canada, June 14 - 18, 2009, DOI: 10.1145/1553374.1553471,
[Conference or Workshop Item]

Nguyen-Tuong, D. ; Peters, J. (2008):
Local Gaussian Processes Regression for Real-time Model-based Robot Control.
International Conference on Intelligent Robot Systems (IROS), Nice, France, September 22-26, 2008, [Conference or Workshop Item]

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

Nakanishi, J. ; Cory, R. ; Mistry, M. ; Peters, J. ; Schaal, S. (2008):
Operational Space Control: A Theoretical and Emprical Comparison.
In: doi: 10.1177/0278364908091463, In: International Journal of Robotics Research, 27(6), pp.737-757, [Article]

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

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

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

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

Nguyen-Tuong, D. ; Peters, J. ; Seeger, M. ; Schoelkopf, B. (2008):
Computed Torque Control with Nonparametric Regressions Techniques.
American Control Conference, Seattle, Washington, June 11-13, 2008, [Conference or Workshop Item]

Nakanishi, J. ; Cory, R. ; Mistry, M. ; Peters, J. ; Schaal, S. (2008):
Operational space control: A theoretical and empirical comparison.
In: The International Journal of Robotics Research, 27 (6), pp. 737-757. ISSN 1741-3176,
DOI: 10.1177/0278364908091463,
[Article]

Nguyen-Tuong, D. ; Peters, J. (2008):
Learning Robot Dynamics for Computed Torque Control using Local Gaussian Processes Regression.
pp. 59-64, 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,
[Conference or Workshop Item]

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

Nakanishi, J. ; Mistry, M. ; Peters, J. ; Schaal, S. (2007):
Experimental evaluation of task space position/orientation control towards compliant control for humanoid robots.
pp. 2520-2527, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 29 October-2 November 2007, [Conference or Workshop Item]

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

Nakanishi, J. ; Cory, R. ; Mistry, M. ; Peters, J. ; Schaal, S. (2005):
Comparative experiments on task space control with redundancy resolution.
IEEE International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada, August 2-6, 2005, [Conference or Workshop Item]

Nakanishi, Jun ; Cory, Rick ; Mistry, Michael ; Peters, Jan ; Schaal, Stefan (2005):
Comparative experiments on task space control with redundancy resolution.
In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems,
IEEE, IEEE International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada, 2-6 Aug. 2005, DOI: 10.1109/IROS.2005.1545203,
[Conference or Workshop Item]

O

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

Osa, T. ; Pajarinen, J. ; Neumann, G. ; Bagnell, J. A. ; Abbeel, P. ; Peters, J. (2018):
An Algorithmic Perspective on Imitation Learning.
In: Foundations and Trends in Robotics, 7 (1-2), pp. 1-179. ISSN 1935-8253, e-ISSN 1935-8261,
[Article]

Osa, T. ; Ghalamzan, E. A. M. ; Stolkin, R. ; Lioutikov, R. ; Peters, J. ; Neumann, G. (2017):
Guiding Trajectory Optimization by Demonstrated Distributions.
In: IEEE Robotics and Automation Letters, (2), pp. 819-826. ieee, [Article]

Osa, T. ; Peters, J. ; Neumann, G. (2016):
Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies.
Proceedings of the International Symposium on Experimental Robotics (ISER), [Conference or Workshop Item]

P

Pajarinen, Joni ; Thai, Hong Linh ; Akrour, Riad ; Peters, Jan ; Neumann, Gerhard (2022):
Compatible natural gradient policy search. (Publisher's Version)
In: Machine Learning, 108 (8-9), pp. 1443-1466. Springer, ISSN 0885-6125, e-ISSN 1573-0565,
DOI: 10.26083/tuprints-00020531,
[Article]

Parisi, Simone ; Tateo, Davide ; Hensel, Maximilian ; D’Eramo, Carlo ; Peters, Jan ; Pajarinen, Joni (2022):
Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. (Publisher's Version)
In: Algorithms, 15 (3), MDPI, e-ISSN 1999-4893,
DOI: 10.26083/tuprints-00021017,
[Article]

Parisi, Simone (2020):
Reinforcement Learning with Sparse and Multiple Rewards.
Darmstadt, Technische Universität,
DOI: 10.25534/tuprints-00011372,
[Ph.D. Thesis]

Paraschos, A. ; Daniel, C. ; Peters, J. ; Neumann, G. (2018):
Using Probabilistic Movement Primitives in Robotics.
In: Autonomous Robots, 42 (3), pp. 529-551. ISSN 0929-5593,
[Article]

Paraschos, A. ; Rueckert, E. ; Peters, J. ; Neumann, G. (2018):
Probabilistic Movement Primitives under Unknown System Dynamics.
In: Advanced Robotics, 32 (6), pp. 297-310. [Article]

Pinsler, Robert ; Akrour, Riad ; Osa, Takayuki ; Peters, Jan ; 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. ; Doya, K. ; Rasmussen, C. ; 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,
[Ph.D. Thesis]

Parisi, S. ; Pirotta, M. ; Peters, J. (2017):
Manifold-based Multi-objective Policy Search with Sample Reuse.
In: Neurocomputing, 263, pp. 3-14. ISSN 0925-2312,
[Article]

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

Pajarinen, J. ; Kyrki, V. ; Koval, M. ; Srinivasa, S. ; Peters, J. ; Neumann, G. (2017):
Hybrid Control Trajectory Optimization under Uncertainty.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Parisi, S. ; Ramstedt, S. ; Peters, J. (2017):
Goal-Driven Dimensionality Reduction for Reinforcement Learning.
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Paraschos, Alexandros ; Lioutikov, Rudolf ; Peters, Jan ; Neumann, Gerhard (2017):
Probabilistic Prioritization of Movement Primitives.
In: IEEE Robotics and Automation Letters, 2 (4), pp. 2294-2301. IEEE, DOI: 10.1109/LRA.2017.2725440,
[Article]

Peters, Jan ; Tedrake, Russ ; Roy, Nick ; Morimoto, Jun (2017):
Robot Learning.
In: Encyclopedia of Machine Learning and Data Mining, 2nd ed., Boston, MA, Springer, ISBN 978-1-4899-7685-7 Online ISBN 978-1-4899-7687-1,
[Book Section]

Peters, J. ; Lee, D. ; Kober, J. ; Nguyen-Tuong, D. ; Bagnell, J. ; Schaal, S. (2016):
Chapter 15: Robot Learning.
In: Springer Handbook of Robotics, pp. 357-394, Springer International Publishing, ISBN 978-3-319-32550-7,
[Book Section]

Parisi, S. ; Blank, A. ; Viernickel,, T. ; 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),
[Conference or Workshop Item]

Peters, J. ; Bagnell, J. A. (2016):
Policy gradient methods.
In: Encyclopedia of Machine Learning, 2nd. Edition, Berlin u.a., Springer, [Book Section]

Paraschos, A. ; Rueckert, E. ; Peters, J. ; Neumann, G. (2015):
Model-Free Probabilistic Movement Primitives for Physical Interaction.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS),
[Conference or Workshop Item]

Parisi, S. ; Abdulsamad, H. ; Paraschos, A. ; Daniel, C. ; 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),
[Conference or Workshop Item]

Peters, Jan ; Muelling, Katharina ; Kober, Jens (2014):
Experiments with Motor Primitives in Table Tennis.
In: Springer Tracts in Advanced Robotics, 79, In: Experimental Robotics, pp. 347-359,
Berlin, Heidelberg, Springer, 12th International Symposium on Experimental Robotics (ISER 2010), DOI: 10.1007/978-3-642-28572-1_24,
[Conference or Workshop Item]

Peters, J. ; Kober, J. ; Muelling, K. ; Kroemer, O. ; Neumann, G. (2013):
Towards Robot Skill Learning: From Simple Skills to Table Tennis.
European Conference on Machine Learning (ECML), Nectar Track, Prag, September 23-27, 2013, [Conference or Workshop Item]

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

Paraschos, A. ; Neumann, G. ; Peters, J. (2013):
A Probabilistic Approach to Robot Trajectory Generation.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Paraschos, A. ; Daniel, C. ; Peters, J. ; Neumann, G.
Burges, C. J. C. ; Bottou, L. ; Welling, M. ; Ghahramani, Z. ; Weinberger, K. Q. (eds.) (2013):
Probabilistic Movement Primitives.
In: Advances in Neural Information Processing Systems, 26, pp. 1-9, Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, 5-10 December 2013, [Conference or Workshop Item]

Peters, J. (2013):
Machine Learning for Robotics.
VDM Verlag, ISBN 978-3-639-02110-3,
[Book]

Peters, J. ; Kober, J. ; Muelling, K. ; Nguyen-Tuong, D. ; Kroemer, O. (2012):
Robot Skill Learning.
In: Proceedings of the European Conference on Artificial Intelligence (ECAI),
Amsterdam, IOS Press, Proceedings of the European Conference on Artificial Intelligence (ECAI), Montpellier, France, August 27 - 31, 2012, [Conference or Workshop Item]

Piater, J. ; Jodogne, S. ; Detry, R. ; Kraft, D. ; Krüger, N. ; Krömer, O. ; Peters, J. (2011):
Learning Visual Representations for Perception-Action Systems.
In: doi: 10.1177/0278364910382464, In: International Journal of Robotics Research, (30(3)), pp. 294-307. [Article]

Peters, Jan ; Tedrake, Russ ; Roy, Nicholas ; Morimoto, Jun (2011):
Robot Learning.
In: Encyclopedia of Machine Learning, Boston, MA, Springer, ISBN Online ISBN 978-0-387-30164-8;Print ISBN 978-0-387-30768-8,
DOI: 10.1007/978-0-387-30164-8_732,
[Book Section]

Piater, Justus ; Jodogne, Sébastien ; Detry, Renaud ; Kraft, Dirk ; Krüger, Norbert ; Kroemer, Oliver ; Peters, Jan (2011):
Learning Visual Representations for Perception-Action Systems.
In: The International Journal of Robotics Research, 30 (3), pp. 294-307. DOI: 10.1177/0278364910382464,
[Article]

Peters, Jan ; Kober, Jens ; Muelling, Katharina ; Nguyen-Tuong, Duy ; Kroemer, Oliver (2011):
Towards Motor Skill Learning for Robotics.
In: Springer tracts in advanced robotics, 70, In: Robotics Research, pp. 460-482,
Berlin, Springer, The 14th International Symposium ISRR, Luzern, 31. August-3. September 2009, [Conference or Workshop Item]

Peters, J. (2010):
Policy Gradient Methods.
In: doi:10.4249/scholarpedia.3698, In: Scholarpedia, 5(11):2698, [Article]

Peters, J. ; Kober, J. ; Schaal, S. (2010):
Algorithmen zum Automatischen Erlernen von Motorfähigkeiten, 58(12), pp. 688â��694.
In: doi: 10.1524/auto.2010.0880, In: at -Automatisierungstechnik, [Article]

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

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

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

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

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

Peters, J. ; Muelling, K. ; Altun, Y. (2010):
Relative Entropy Policy Search.
In: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10), T. 3, pp. 1607-1612, Menlo Park, AAI Press, 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, [Conference or Workshop Item]

Peters, Jan ; Bagnell, J. Andrew (2010):
Policy gradient methods.
In: Encyclopedia of Machine Learning, Berlin, Springer, ISBN 978-0-387-30768-8,
DOI: 10.1007/978-0-387-30164-8_640,
[Book Section]

Peters, Jan ; Kober, Jens ; Schaal, Stefan (2010):
Policy learning algorithmis for motor learning (Algorithmen zum automatischen Erlernen von Motorfaehigkigkeiten).
In: Automatisierungstechnik, 58 (12), pp. 688-694. De Gruyter, ISSN 2196-677X ; Druckausg.: 0178-2312,
[Article]

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

Peters, J. ; Ng, A. Y. (2009):
Guest Editorial: Special Issue on Robot Learning, Part B.
In: doi: 10.1007/s10514-009-9122-2, In: Autonomous Robots, 27(2), [Article]

Peters, J. ; Ng, A. Y. (2009):
Guest Editorial: Special Issue on Robot Learning, Part A.
In: doi: 10.1007/s10514-009-9131-1, In: Autonomous Robots, 27(1), [Article]

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

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

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

Peters, Jan ; Kober, Jens (2009):
Using Reward-Weighted Imitation for Robot Reinforcement Learning.
In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 226-232,
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,
[Conference or Workshop Item]

Piater, J. ; Jodogne, S. ; Detry, R. ; Kraft, D. ; Krueger, N. ; Kroemer, O. ; Peters, J. (2009):
Learning Visual Representations for Interactive Systems.
International Symposium on Robotics Research (ISRR), Invited Paper, Lucerne, Switzerland, August 31 - September 3, 2009, [Conference or Workshop Item]

Peters, Jan ; Ng, Andrew Y. (2009):
Guest Editorial: Special Issue on Robot Learning, Part B.
In: Autonomous Robots, 27 (2), pp. 91-92. Springer, [Article]

Peters, J. ; Ng, A. (2009):
Guest Editorial: Special Issue on Robot Learning, Part A.
In: Autonomous Robots, 27 (1), pp. 1-2. ISSN 0929-5593,
[Article]

Peters, J. ; Nguyen-Tuong, D. (2008):
Real-Time Learning of Resolved Velocity Control on a Mitsubishi PA-10.
International Conference on Robotics and Automation (ICRA), Pasadena, California, USA, May 19 - 23, 2008, [Conference or Workshop Item]

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

Peters, J. ; Mistry, M. ; Udwadia, F. E. ; Nakanishi, J. ; Schaal, S. (2008):
A Unifying Methodology for Robot Control with Redundant DOFs.
In: doi: 10.1007/s10514-007-9051-x, In: Autonomous Robots, 24(1), pp.1-12, [Article]

Peters, J. ; Schaal, S. (2008):
Learning to Control in Operational Space.
In: doi: 10.1177/0278364907087548, In: International Journal of Robotics Research, 27, pp.197-212, [Article]

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

Peters, J. ; Schaal, S. (2008):
Reinforcement Learning of Motor Skills with Policy Gradients.
In: doi: 10.1016/j.neunet.2008.02.003, In: Neural Networks, 21(4), pp.682-97, [Article]

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

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

Peters, J. ; Kober, J. ; Nguyen-Tuong, D. (2008):
Policy Learning - a unified perspective with applications in robotics.
pp. 220-228, 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,
[Conference or Workshop Item]

Peters, J. (2008):
Machine Learning for Motor Skills in Robotics.
In: KI - Künstliche Intelligenz, 22 (4), pp. 41-43. [Article]

Peters, J. ; Schaal, S. (2008):
Natural actor-critic.
In: Neurocomputing, 71 (7-9), pp. 1180-1190. ISSN 1872-8286,
DOI: 10.1016/j.neucom.2007.11.02,
[Article]

Peters, J. ; Schaal, S. (2008):
Learning to control in operational space.
In: The International Journal of Robotics Research, 27 (2), pp. 197-212. ISSN 1741-3176,
DOI: 10.1177/0278364907087548,
[Article]

Peters, J. ; Schaal, S. (2008):
Reinforcement learning of motor skills with policy gradients.
In: Neural Networks, 21 (4), pp. 682-697. ISSN 1879-2782,
DOI: 10.1016/j.neunet.2008.02.003,
[Article]

Peters, J. ; Mistry, M. ; Udwadia, F. E. ; Nakanishi, J. ; Schaal, S. (2008):
A unifying framework for robot control with redundant DOFs.
In: Autonomous Robots, 24 (1), pp. 1-12. ISSN 0929-5593,
DOI: 10.1007/s10514-007-9051-x,
[Article]

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

Peters, Jan ; Schaal, Stefan
Ishikawa, Masumi (ed.) (2007):
Policy Learning for Motor Skills.
In: Lecture notes in computer science, 4985, In: Neural Information Processing : 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007 ; Revised Selected Papers, Part II, pp. 233-242,
Berlin, Heidelberg, New York, Springer, ISBN 978-3-540-69159-4,
DOI: 10.1007/978-3-540-69162-4_25,
[Conference or Workshop Item]

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

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

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

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

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

Peters, J. ; Theodorou, E. ; Schaal, S. (2007):
Policy Gradient Methods for Machine Learning.
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. (2007):
Computational Intelligence: Principles, Techniques and Applications.
In: The Computer Journal, 50 (6), p. 758. DOI: 10.1093/comjnl/bxm073,
[Article]

Peters, J. ; Schaal, S. (2007):
Policy Learning for Motor Skills.
pp. 223-242, Proceedings of 14th International Conference on Neural Information Processing (ICONIP), Kitakyushu, Japan, November 13-16, 2007, [Conference or Workshop Item]

Peters, J. ; Schaal, S. ; Schoelkopf, B. (2007):
Towards Machine Learning of Motor Skills.
Proceedings of Autonome Mobile Systeme (AMS), Kaiserslautern, 18.-19. Oktober 2007, DOI: 10.1007/978-3-540-74764-2_22,
[Conference or Workshop Item]

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

Peters, J. ; Schaal, S. (2007):
Reinforcement learning for operational space control.
International Conference on Robotics and Automation (ICRA2007), Roma, Italy, 10.-14. April 2007, [Conference or Workshop Item]

Peters, J. ; Schaal, S. (2007):
Using reward-weighted regression for reinforcement learning of task space control.
Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, Honolulu, Hawaii, 1.-5. April 2007, [Conference or Workshop Item]

Peters, J. ; Schaal, S. (2007):
Applying the episodic natural actor-critic architecture to motor primitive learning.
Proceedings of the 2007 European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, April 23-25, 2008, [Conference or Workshop Item]

Peters, J. ; Schaal, S. (2007):
Reinforcement learning by reward-weighted regression for operational space control.
pp. 745-750, Proceedings of the International Conference on Machine Learning (ICML2007), Corvallis, OR, USA, June 20 - 24, 2007, DOI: 10.1145/1273496.1273590,
[Conference or Workshop Item]

Peters, J. ; Theodorou, E. ; Schaal, S. (2007):
Policy gradient methods for machine learning.
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.
[Conference or Workshop Item]

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

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

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

Peters, J. ; Schaal, S. (2006):
Learning operational space control.
cambridge, ma: mit press, Robotics: Science and Systems (RSS 2006), Philadelphia, Pennsylvania, USA, August 16-19, 2006, DOI: 10.15607/RSS.2006.II.033,
[Conference or Workshop Item]

Peters, J. ; Schaal, S. (2006):
Reinforcement Learning for Parameterized Motor Primitives.
Proceedings of the 2006 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada, July 16-21, 2006, DOI: 10.1109/IJCNN.2006.246662,
[Conference or Workshop Item]

Peters, J. ; Schaal, S. (2006):
Policy gradient methods for robotics.
Proceedings of the IEEE International Conference on Intelligent Robotics Systems (IROS 2006), Beijing, China, October 9-15, 2006, [Conference or Workshop Item]

Peters, Jan ; Schaal, Stefan (2006):
Policy gradient methods for robotics.
In: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2219 -2225,
IEEE International Conference on Intelligent Robotics Systems (IROS 2006), Beijing, China, 9-15 Oct. 2006, DOI: 10.1109/IROS.2006.282564,
[Conference or Workshop Item]

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

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

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2005):
Natural Actor-Critic.
pp. 280-291, Proceedings of the 16th European Conference on Machine Learning (ECML 2005), Porto, Portugal, October 3-7, 2005, [Conference or Workshop Item]

Peters, J. ; Mistry, M. ; Udwadia, F. E. ; Schaal, S. (2005):
A new methodology for robot control design.
The 5th ASME International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC 2005), Long Beach, California, USA, September 24–28, 2005, [Conference or Workshop Item]

Peters, J. ; Mistry, M. ; Udwadia, F. E. ; Cory, R. ; Nakanishi, J. ; Schaal, S. (2005):
A unifying framework for the control of robotics systems.
IEEE International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada, August 2-6, 2005, [Conference or Workshop Item]

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2005):
Natural Actor-Critic.
In: Lecture Notes in Computer Science, 3720, In: Machine Learning: ECML 2005 ; Proceedings, pp. 280-291,
Berlin, Heidelberg, Springer, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, [Conference or Workshop Item]

Peters, Jan ; Mistry, Michael ; Udwadia, Firdaus ; Schaal, Stefan (2005):
A new methodology for robot control design.
In: Conferences and Computers and Information in Engineering Conference, 6, In: Proceedings of the ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - 2005 : Parts A, B, and C, pp. 1067-1076,
ASME, The 5th ASME International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC 2005), Long Beach, California, USA, September 24–28, 2005, DOI: 10.1115/DETC2005-85166,
[Conference or Workshop Item]

Peters, J. ; Mistry, M. ; Udwadia, F. E. ; Cory, R. ; Nakanishi, J. ; Schaal, S. (2005):
A unifying framework for the control of robotics systems.
IEEE International Conference on Intelligent Robots and Systems (IROS 2005), [Conference or Workshop Item]

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

Peters, Jan ; Schaal, Stefan (2004):
Learning Motor Primitives with Reinforcement Learning : Poster.
In: 11th Joint Symposium on Neural Computation,
unpublished, University of Southern California, 15 May 2004, [Conference or Workshop Item]

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

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

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2003):
Natural Actor-Critic : Poster presented at NIPS 2003 ...
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. ; Vijayakumar, S. ; Schaal, S. (2003):
Reinforcement learning for humanoid robotics.
IEEE-RAS International Conference on Humanoid Robots (Humanoids 2003), Karlsruhe, Germany, September 29-30, 2003, [Conference or Workshop Item]

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2003):
Scaling reinforcement learning paradigms for motor learning.
Proceedings of the 10th Joint Symposium on Neural Computation (JSNC 2003), [Conference or Workshop Item]

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2003):
Reinforcement learning for humanoid robotics.
IEEE-RAS International Conference on Humanoid Robots (Humanoids2003), [Conference or Workshop Item]

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2003):
Scaling reinforcement learning paradigms for motor learning.
Proceedings of the 10th Joint Symposium on Neural Computation (JSNC 2003), [Conference or Workshop Item]

Peters, J. ; Smagt, P. van der (2002):
Searching a Scalable Approach to Cerebellar Based Control.
In: Applied Intelligence, 17 (1), pp. 11-33. DOI: 10.1023/A:1015775631060,
[Article]

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

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

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

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

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

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

R

Rawal, Niyati ; Koert, Dorothea ; Turan, Cigdem ; Kersting, Kristian ; Peters, Jan ; Stock-Homburg, Ruth (2022):
ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. (Publisher's Version)
In: Frontiers in Robotics and AI, 8, Frontiers Media S.A., e-ISSN 2296-9144,
DOI: 10.26083/tuprints-00020336,
[Article]

Rueckert, E. ; Nakatenus, M. ; Tosatto, S. ; Peters, J. (2017):
Learning Inverse Dynamics Models in O(n) time with LSTM networks.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Rueckert, Elmar ; Kappel, David ; Tanneberg, Daniel ; Pecevski, Dejan ; Peters, Jan (2016):
Recurrent Spiking Networks Solve Planning Tasks.
In: Scientific Reports, 6 (21142), Nature Publ. Group, ISSN 2045-2322,
[Article]

Rueckert, Elmar ; Camernik, Jernej ; Peters, Jan ; Babic, Jan (2016):
Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control.
In: Scientific reports, 6 (28455), ISSN 2045-2322,
[Article]

Rueckert, E. ; Lioutikov, R. ; Calandra, R. ; Schmidt, M. ; Beckerle, Philipp ; Peters, J. (2015):
Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations.
ICRA 2015 Workshop “Tactile & force sensing for autonomous, compliant, intelligent robots”, Seattle, Washington, May 2015, [Conference or Workshop Item]

Rueckert, E. ; Mundo, J. ; Paraschos, A. ; Peters, J. ; 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. ; Mindt, M. ; Peters, J. ; Neumann, G. (2014):
Robust Policy Updates for Stochastic Optimal Control.
International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Conference or Workshop Item]

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

Riedmiller, M. ; Peters, J. ; Schaal, S. (2007):
Evaluation of policy gradient methods and variants on the cart-pole benchmark.
Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, Honolulu, HI, USA, 1-5 April 2007, [Conference or Workshop Item]

S

Sousa Ewerton, Marco Antonio (2020):
Bidirectional Human-Robot Learning: Imitation and Skill Improvement.
Darmstadt, Technische Universität,
DOI: 10.25534/tuprints-00011875,
[Ph.D. Thesis]

Stark, S. ; Peters, J. ; Rueckert, E. (2017):
A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Sharma, D. ; Tanneberg, D. ; Grosse-Wentrup, M. ; Peters, J. ; Rueckert, E. (2016):
Adaptive Training Strategies for BCIs.
Cybathlon Symposium, [Conference or Workshop Item]

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

Sigaud, Olivier ; Peters, Jan (2012):
Robot Learning.
In: Encyclopedia of the Sciences of Learning, pp. 168-211, Boston, MA, Springer, ISBN Online ISBN 978-1-4419-1428-6 Print ISBN 978-1-4419-1427-9,
DOI: 10.1007/978-1-4419-1428-6_237,
[Book Section]

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

Sehnke, F. ; Osendorfer, C. ; Rückstiess, T. ; Graves, A. ; Peters, J. ; Schmidhuber, J. (2010):
Parameter-exploring Policy Gradients.
In: doi: 10.1016/j.neunet.2009.12.004, In: Neural Networks, (23(4)), pp. 551-559. [Article]

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

Sigaud, Olivier ; Peters, Jan (2009):
From Motor Learning to Interaction Learning in Robots.
In: Proceedings of 7ème Journées Nationales de la Recherche en Robotique, pp. 189-195,
JNRR 2009, Neuvy-sur-Barangeon, France, [Conference or Workshop Item]

Steinke, F. ; Hein, M. ; Peters, J. ; Schölkopf, B. (2008):
Manifold-valued Thin-Plate Splines with Applications in Computer Graphics.
In: 10.1111/j.1467-8659.2008.01141.x, In: Computer Graphics Forum (Special Issue on Eurographics 2008), (27(2)), pp. 437-448. [Article]

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

Steinke, F. ; Hein, M. ; Peters, J. ; Schoelkopf, B. (2008):
Manifold-valued Thin-Plate Splines with Applications in Computer Graphics.
In: Eurographics, 27 (2), The Eurographics Association, [Article]

Sehnke, F. ; Osendorfer, C. ; Rueckstiess, T. ; Graves, A. ; Peters, J. ; Schmidhuber, J. (2008):
Policy Gradients with Parameter-based Exploration for Control.
pp. 387-396, 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,
[Conference or Workshop Item]

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

Schaal, S. ; Peters, J. ; Nakanishi, J. ; Ijspeert, A. (2004):
Learning Movement Primitives.
International Symposium on Robotics Research (ISRR2003), [Conference or Workshop Item]

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

Schaal, S. ; Peters, J. ; Nakanishi, J. ; Ijspeert, A. (2003):
Learning Movement Primitives.
International Symposium on Robotics Research (ISRR2003), Siena, Italy, October 19-22, 2003, [Conference or Workshop Item]

Schaal, S. ; Peters, J. ; Nakanishi, J. ; Ijspeert, A. (2003):
Control, planning, learning, and imitation with dynamic movement primitives.
Workshop on Bilateral Paradigms on Humans and Humanoids, IEEE International Conference on Intelligent Robots and Systems (IROS 2003), Las Vegas, NV, USA, [Conference or Workshop Item]

T

Tosatto, Samuele (2021):
Off-Policy Reinforcement Learning for Robotics. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00017536,
[Ph.D. Thesis]

Tanneberg, Daniel (2020):
Understand-Compute-Adapt: Neural Networks for Intelligent Agents. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.25534/tuprints-00017234,
[Ph.D. Thesis]

Tanneberg, Daniel ; Peters, Jan ; 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,
[Article]

Tangkaratt, V. ; Hoof, H. van ; Parisi, S. ; Neumann, G. ; Peters, J. ; Sugiyama, M. (2017):
Policy Search with High-Dimensional Context Variables.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), [Conference or Workshop Item]

Tosatto, S. ; D'Eramo, Carlo ; Pirotta, M. ; Restelli, M. (2017):
Boosted Fitted Q-Iteration.
Proceedings of the International Conference of Machine Learning (ICML), [Conference or Workshop Item]

Tanneberg, D. ; Peters, J. ; Rueckert, E. (2017):
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.
Proceedings of the Conference on Robot Learning (CoRL), [Conference or Workshop Item]

Tanneberg, D. ; Peters, J. ; Rueckert, E. (2017):
Efficient Online Adaptation with Stochastic Recurrent Neural Networks.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Thiem, S. ; Stark, S. ; Tanneberg, D. ; Peters, J. ; Rueckert, E. (2017):
Simulation of the underactuated Sake Robotics Gripper in V-REP.
In: Workshop at the International Conference on Humanoid Robots (HUMANOIDS), [Book Section]

Tanneberg, D. ; Paraschos, A. ; Peters, J. ; Rueckert, E. (2016):
Deep Spiking Networks for Model-based Planning in Humanoids.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Traversaro, S. ; Del Prete, A. ; Ivaldi, S. ; 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, J. ; Schaal, S. (2007):
Reinforcement Learning for Optimal Control of Arm Movements.
Abstracts of the 37st Meeting of the Society of Neuroscience., [Conference or Workshop Item]

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

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

Ting, J. ; Mistry, M. ; Nakanishi, J. ; Peters, J. ; Schaal, S. (2006):
A Bayesian approach to nonlinear parameter identification for rigid body dynamics.
cambridge, ma: mit press, Robotics: Science and Systems (RSS 2006), Philadelphia, Pennsylvania, USA, August 16-19, 2006, [Conference or Workshop Item]

V

Veiga, F. ; Edin, B. B. ; Peters, J. (2018):
In-Hand Object Stabilization by Independent Finger Control.
In: IEEE Transactions on Robotics Journal, [Article]

Veiga, Filipe ; Peters, Jan ; 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,
[Article]

Vinogradska, Julia (2018):
Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

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

Vinogradska, J. ; Bischoff, B. ; Nguyen-Tuong, D. ; Peters, J. (2017):
Stability of Controllers for Gaussian Process Forward Models.
In: Journal of Machine Learning Research, 18 (100), pp. 1-37. [Article]

Veiga, F. F. ; Peters, J. (2016):
Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws?
[Article]

Vinogradska, J. ; Bischoff, B. ; Nguyen-Tuong, D. ; Romer, A. ; Schmidt, H. ; Peters, J. (2016):
Stability of Controllers for Gaussian Process Forward Models.
In: Proceedings of the International Conference on Machine Learning (ICML),
[Conference or Workshop Item]

Veiga, F. F. ; Hoof, H. van ; Peters, J. ; 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),
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Vitzthum, Arnd ; Ben Amor, Henri ; Heumer, Guido ; 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,
[Article]

Vijayakumar, S. ; D'Souza, A. ; Peters, J. ; Conradt, J. ; Rutkowski, T. ; Ijspeert, A. ; Nakanishi, J. ; Inoue, M. ; Shibata, T. ; Wiryo, A. ; Itti, L. ; Amari, S. ; Schaal, S. (2002):
Real-Time Statistical Learning for Oculomotor Control and Visuomotor Coordination.
Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 2002, [Conference or Workshop Item]

W

Wang, Z. ; Boularias, A. ; Muelling, K. ; Schoelkopf, B. ; Peters, J. (2017):
Anticipatory Action Selection for Human-Robot Table Tennis.
In: Artificial Intelligence, 247, pp. 399-414. ISSN 0004-3702,
[Article]

Wiemeyer, J. ; Peters, J. ; Kollegger, G. ; Ewerton, M. (2017):
BIMROB - Bidirektionale Interaktion von Mensch und Roboter beim Bewegungslernen.
DVS Sportmotorik 2017, [Conference or Workshop Item]

Wilbers, D. ; Lioutikov, R. ; 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. ; Rückert, E. ; Calandra, R. ; Peters, J. ; Beckerle, Philipp (2016):
A Low-cost Sensor Glove with Vibrotactile Feedback and Multiple Finger Joint and Hand Motion Sensing for Human-Robot Interaction.
IEEE International Symposium on Robot and Human Interactive Communication, Columbia University, New York City, USA, August 26-31, 2016, [Conference or Workshop Item]

Wahrburg, A. ; Zeiss, S. ; Matthias, B. ; Peters, J. ; 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),
[Conference or Workshop Item]

Wierstra, D. ; Schaul, T. ; Glasmachers, T. ; Sun, Y. ; Peters, J. ; Schmidhuber, J. (2014):
Natural Evolution Strategies.
In: Journal of Machine Learning Research, 15 (March), pp. 949-980. [Article]

Wang, Zhikun (2013):
Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models.
TU Darmstadt,
[Ph.D. Thesis]

Wang, Z. ; Muelling, K. ; Deisenroth, M. P. ; Ben Amor, H. ; Vogt, D. ; Schoelkopf, B. ; Peters, J. (2013):
Probabilistic Movement Modeling for Intention Inference in Human-Robot Interaction.
In: International Journal of Robotics Research (IJRR)",, (7), pp. 841-858. [Article]

Wang, Z. ; Deisenroth, M. ; Ben Amor, H. ; Vogt, D. ; Schoelkopf, B. ; Peters, J. (2012):
Probabilistic Modeling of Human Movements for Intention Inference.
Proceedings of Robotics: Science and Systems (R:SS), University of Sydney, Sydney, July 9-13, 2012, [Conference or Workshop Item]

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

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

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

Wang, Z. ; Lampert, C. H. ; Muelling, K. ; Schoelkopf, B. ; Peters, J. (2011):
Learning Anticipation Policies for Robot Table Tennis.
IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), San Francisco, California, September 25-30, 2011, [Conference or Workshop Item]

Wang, Z. ; Boularias, A. ; Muelling, K. ; Peters, J. (2011):
Balancing Safety and Exploitability in Opponent Modeling.
Twenty-Fifth National Conference on Artificial Intelligence (AAAI), San Francisco, California, August 7–11, 2011, [Conference or Workshop Item]

Wierstra, D. ; Förster, A. ; Peters, J. ; Schmidhuber, J. (2010):
Recurrent Policy Gradients.
In: doi: 10.1093/jigpal/jzp049, In: Logic Journal of the IGPL, (18(5)), pp. 620-634. [Article]

Wierstra, D. ; Foerster, A. ; Peters, J. ; Schmidhuber, J. (2010):
Recurrent Policy Gradients.
In: Logic Journal of IGPL Advance Access, 18, pp. 620-634. DOI: 10.1093/jigpal/jzp049,
[Article]

Wierstra, D. ; Schaul, T. ; Peters, J. ; Schmidhuber, J. (2008):
Natural Evolution Strategies.
2008 IEEE Congress on Evolutionary Computation, Hong Kong, China, 1-6 June 2008, [Conference or Workshop Item]

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

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

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

Wierstra, D. ; Schaul, T. ; Peters, J. ; Schmidthuber, J. (2008):
Fitness Expectation Maximization.
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,
[Conference or Workshop Item]

Wierstra, D. ; Schaul, T. ; Peters, J. ; Schmidhuber, J. (2008):
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.
pp. 407-416, 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,
[Conference or Workshop Item]

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

Wierstra, D. ; Foerster, A. ; Peters, J. ; Schmidhuber, J. (2007):
Solving Deep Memory POMDPs with Recurrent Policy Gradients.
Proceedings of the International Conference on Artificial Neural Networks (ICANN), Porto, Portugal, September 9-13, 2007, [Conference or Workshop Item]

Y

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

Yi, Z. ; Zhang, Y. ; Peters, J. (2017):
Bioinspired Tactile Sensor for Surface Roughness Discrimination.
In: Sensors and Actuators A: Physical Volume, 255, pp. 46-53. [Article]

Yi, Z. ; Calandra, R. ; Veiga, F. ; Hoof, H. van ; Hermans, T. ; Zhang, Y. ; Peters, J. (2016):
Active Tactile Object Exploration with Gaussian Processes.
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

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

Z

Zelch, Christoph ; Peters, Jan ; Stryk, Oskar von (2020):
Learning control policies from optimal trajectories.
In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 2529-2535,
IEEE, International Conference on Robotics and Automation, Paris, France, 31.05.-31.08.2020, ISBN 978-1-7281-7395-5,
DOI: 10.1109/ICRA40945.2020.9196791,
[Conference or Workshop Item]

This list was generated on Sun Jun 26 00:50:24 2022 CEST.