A

Abdulsamad, Hany (2022)
Statistical Machine Learning for Modeling and Control of Stochastic Structured Systems.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00022573
Dissertation, Erstveröffentlichung, Verlagsversion

Akrour, Riad ; Pajarinen, Joni ; Peters, Jan ; Neumann, Gerhard (2022)
Projections for Approximate Policy Iteration Algorithms.
36th International Conference on Machine Learning. Long Beach, California, USA (09.-15.06.2019)
Konferenzveröffentlichung, Bibliographie

Arenz, Julian Oleg (2021)
Sample-Efficient I-Projections for Robot Learning.
Technische Universität Darmstadt
doi: 10.12921/tuprints-00014271
Dissertation, Erstveröffentlichung, Verlagsversion

Arenz, Oleg ; Zhong, Mingjun ; Neumann, Gerhard (2020)
Trust-Region Variational Inference with Gaussian Mixture Models.
In: Journal of Machine Learning Research, 21
Artikel, Bibliographie

Abi-Farraj, Firas ; Pacchierotti, Claudio ; Arenz, Oleg ; Neumann, Gerhard ; Giordano, Paolo Robuffo (2019)
A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping.
In: IEEE Transactions on Haptics, 13 (2)
doi: 10.1109/TOH.2019.2913643
Artikel, Bibliographie

Akrour, R. ; Peters, J. ; Neuman, G. (2018)
Constraint-Space Projection Direct Policy Search.
European Workshops on Reinforcement Learning (EWRL). Lille, France
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Arenz, Oleg ; Neumann, Gerhard ; Zhong, Mingjun (2018)
Efficient Gradient-Free Variational Inference using Policy Search.
35th International Conference on Machine Learning (ICML 2018). Stockholm, Sweden (10.-15.07.2018)
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Akrour, R. ; Sorokin, D. ; Peters, J. ; Neumann, G. (2017)
Local Bayesian Optimization of Motor Skills.
Proceedings of the International Conference on Machine Learning (ICML).
Konferenzveröffentlichung, Bibliographie

Arenz, O. ; Abdulsamad, H. ; Neumann, G. (2016)
Optimal Control and Inverse Optimal Control by Distribution Matching.
International Conference on Intelligent Robots and Systems (IROS'16). Daejeon, Republik of Korea (09.10.2016-14.10.2016)
Konferenzveröffentlichung, Bibliographie

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)
Artikel, Bibliographie

Akrour, R. ; Abdolmaleki, A. ; Abdulsamad, H. ; Neumann, G. (2016)
Model-Free Trajectory Optimization for Reinforcement Learning.
Konferenzveröffentlichung, Bibliographie

Azad, M. ; Ortenzi, V. ; Lin, C. ; Rueckert, E. ; Mistry, M. (2016)
Model Estimation and Control of Complaint Contact Normal Force.
Konferenzveröffentlichung, Bibliographie

Abdolmaleki, A. ; Lioutikov, R. ; Peters, J. ; Lau, N. ; Reis, L. ; Neumann, G. (2015)
Model-Based Relative Entropy Stochastic Search.
Advances in Neural Information Processing Systems (NIPS).
Konferenzveröffentlichung, Bibliographie

Alvaro, M. ; Peters, J. ; Schölkopf, B. ; Lawrence, N. (2011)
Switched Latent Force Models for Movement Segmentation.
Advances in Neural Information Processing Systems 24 (NIPS 2010), Cambridge, MA: MIT Press.
Konferenzveröffentlichung, Bibliographie

Alvaro, Mauricio A. ; Peters, Jan ; Schoelkopf, Bernhard ; Lawrence, Neil D. (2010)
Switched Latent Force Models for Movement Segmentation.
24th Annual Conference on Neural Information Processing Systems 2010. Vancouver, Canada (06.12.2010-09.12.2010)
Konferenzveröffentlichung, Bibliographie

B

Belousov, Boris (2022)
On Optimal Behavior Under Uncertainty in Humans and Robots.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00022561
Dissertation, Erstveröffentlichung, Verlagsversion

Becker-Ehmck, Philip (2022)
Latent State-Space Models for Control.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00022489
Dissertation, Erstveröffentlichung, Verlagsversion

Becker, Philipp ; Arenz, Oleg ; Neumann, Gerhard (2020)
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation.
8. International Conference on Learning Representations (ICLR 2020). Virtual Conference (26.-30.04.2020)
Konferenzveröffentlichung, Bibliographie

Büchler, Dieter (2019)
Robot Learning for Muscular Systems.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00017210
Dissertation, Erstveröffentlichung, Verlagsversion

Brandherm, Florian ; Peters, Jan ; Neumann, Gerhard ; Akrour, Riad (2019)
Learning Replanning Policies with Direct Policy Search.
In: IEEE Robotics and Automation Letters, 4 (2)
doi: 10.1109/LRA.2019.2901656
Artikel, Bibliographie

Belousov, Boris ; Peters, Jan (2019)
Entropic Regularization of Markov Decision Processes.
In: Entropy, 21 (7)
doi: 10.3390/e21070674
Artikel, Bibliographie

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)
doi: 10.1109/LRA.2018.2849601
Artikel, Bibliographie

Brandherm, Florian (2018)
Learning Replanning Policies with Direct Policy Search.
Technische Universität Darmstadt
Masterarbeit, Bibliographie

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 (01.10.2018-03.10.2018)
Konferenzveröffentlichung, Bibliographie

Belousov, Boris ; Peters, Jan (2017)
f-Divergence constrained policy improvement.
doi: 10.48550/arXiv.1801.00056
Report, Bibliographie

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 (14.03.2017-16.03.2017)
Konferenzveröffentlichung, Bibliographie

Busch, Baptiste ; Maeda, Guilherme ; Mollard, Yoan ; Demangeat, Marie ; Lopes, Manuel (2017)
Postural Optimization for an Ergonomic Human-Robot Interaction.
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vancouver, BC, Canada (24.09.2017-28.09.2017)
doi: 10.1109/IROS.2017.8206107
Konferenzveröffentlichung, Bibliographie

Buechler, D. ; Ott, H. ; Peters, J. (2016)
A Lightweight Robotic Arm with Pneumatic Muscles for Robot Learning.
Konferenzveröffentlichung, Bibliographie

Belousov, Boris ; Neumann, Gerhard ; Rothkopf, Constantin A. ; Peters, Jan R. (2016)
Catching heuristics are optimal control policies.
30th Conference on Neural Information Processing Systems. Barcelona, Spain (05.12.2016-10.12.2016)
Konferenzveröffentlichung, Bibliographie

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

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).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Brandl, S. ; Kroemer, O. ; Peters, J. (2014)
Generalizing Pouring Actions Between Objects using Warped Parameters.
International Conference on Humanoid Robots (HUMANOIDS). Madrid (18.11.2014-20.11.2014)
Konferenzveröffentlichung, Bibliographie

Bocsi, B. ; Csato, L. ; Peters, J. (2013)
Alignment-based Transfer Learning for Robot Models.
International Joint Conference on Neural Networks (IJCNN). Dallas, Texas, USA (04.08.2013-09.08.2013)
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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 (14.05.2012-18.05.2012)
Konferenzveröffentlichung, Bibliographie

Boularias, A. ; Kroemer, O. ; Peters, J. (2012)
Structured Apprenticeship Learning.
Proceedings of the European Conference on Machine Learning (ECML). Bristol, UK (24.09.2012-28.09.2012)
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Boularias, A. ; Kroemer, O. ; Peters, J. (2012)
Algorithms for Learning Markov Field Policies.
Advances in Neural Information Processing Systems 26 (NIPS 2012).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Boularias, A. ; Kober, J. ; Peters, J. (2011)
Model-free Inverse Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics (AIStats).
Konferenzveröffentlichung, Bibliographie

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 (25.09.2011-30.09.2011)
Konferenzveröffentlichung, Bibliographie

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 (11.04.2011-13.04.2011)
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

C

Cowen-Rivers, Alexander (2023)
Pushing The Limits of Sample-Efficient Optimisation.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00024178
Dissertation, Erstveröffentlichung, Verlagsversion

Celemin, Carlos ; Maeda, Guilherme ; Ruiz-del-Solar, Javier ; Peters, Jan ; Kober, Jens (2019)
Reinforcement learning of motor skills using Policy Search and human corrective advice.
In: The International Journal of Robotics Research, 38 (14)
doi: 10.1177/0278364919871998
Artikel, Bibliographie

Calandra, Roberto (2017)
Bayesian Modeling for Optimization and Control in Robotics.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Calandra, R. ; Peters, J. ; Rasmussen, C. E. ; Deisenroth, M. P. (2016)
Manifold Gaussian Processes for Regression.
Konferenzveröffentlichung, Bibliographie

Calandra, R. ; Ivaldi, S. ; Deisenroth, M. ; Peters, J. (2015)
Learning Torque Control in Presence of Contacts using Tactile Sensing from Robot Skin.
Seoul
Konferenzveröffentlichung, Bibliographie

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

Calandra, R. ; Ivaldi, S. ; Deisenroth, M. ; Rueckert, E. ; Peters, J. (2015)
Learning Inverse Dynamics Models with Contacts.
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Calandra, R. ; Gopalan, N. ; Seyfarth, A. ; Peters, J. ; Deisenroth, M. P.
Hrsg.: Pardalos, P. M. (2014)
Bayesian Gait Optimization for Bipedal Locomotion.
Gainesville, FL (16.02.2014-21.02.2014)
Konferenzveröffentlichung, Bibliographie

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 (14.09.2014-18.09.2014)
Konferenzveröffentlichung, Bibliographie

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 (18.11.2014-20.11.2014)
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Chiappa, S. ; Peters, J. (2011)
Movement extraction by detecting dynamics switches and repetitions.
Advances in Neural Information Processing Systems 24 (NIPS 2010), Cambridge, MA: MIT Press.
Konferenzveröffentlichung, Bibliographie

Chiappa, Silvia ; Peters, Jan (2010)
Movement extraction by detecting dynamics switches and repetitions.
24th Annual Conference on Neural Information Processing Systems 2010. Vancouver, Canada (06.12.2010-09.12.2010)
Konferenzveröffentlichung, Bibliographie

Chiappa, S. ; Kober, J. ; Peters, J. (2009)
Using Bayesian Dynamical Systems for Motion Template Libraries.
Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press.
Konferenzveröffentlichung, Bibliographie

Chiappa, Silvia ; Kober, Jens ; Peters, Jan R. (2009)
Using Bayesian Dynamical Systems for Motion Template Libraries.
22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS). Vancouver, Canada (08.12.2008-10.12.2008)
Konferenzveröffentlichung, Bibliographie

D

Dam, Tuan (2023)
Sample Efficient Monte Carlo Tree Search for Robotics.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00022931
Dissertation, Erstveröffentlichung, Verlagsversion

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
Artikel, Bibliographie

Delfa Victoria, Juan Manuel (2016)
Automated Hierarchical, Forward-Chaining Temporal Planner for Planetary Robots Exploring Unknown Environments.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Daniel, Christian (2016)
Learning Hierarchical Policies from Human Feedback.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Daniel, Christian ; Hoof, Herke van ; Peters, Jan ; Neumann, Gerhard (2016)
Probabilistic Inference for Determining Options in Reinforcement Learning.
In: Machine Learning, 104 (2-3)
Artikel, Bibliographie

Dezfuli, Niloofar (2015)
Novel Interaction Concepts for Event Participation Through Social Television.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Daniel, C. ; Kroemer, O. ; Viering, M. ; Metz, J. ; Peters, J. (2015)
Active Reward Learning with a Novel Acquisition Function.
In: Autonomous Robots, 39 (3)
Artikel, Bibliographie

Dann, C. ; Neumann, G. ; Peters, J. (2015)
Policy Evaluation with Temporal Differences: A Survey and Comparison.
Konferenzveröffentlichung, Bibliographie

Droniou, A. ; Ivaldi, S. ; Sigaud, O. (2015)
Deep unsupervised network for multimodal perception, representation and classification.
In: Robotics and Autonomous Systems, 71
Artikel, Bibliographie

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)
Artikel, Bibliographie

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
Artikel, Bibliographie

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, (31.05.2014-07.06.2014)
Konferenzveröffentlichung, Bibliographie

Daniel, C. ; Viering, M. ; Metz, J. ; Kroemer, O. ; Peters, J. (2014)
Active Reward Learning.
Proceedings of Robotics: Science & Systems (R:SS).
Konferenzveröffentlichung, Bibliographie

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 (06.05.2013-10.05.2013)
Konferenzveröffentlichung, Bibliographie

Daniel, C. ; Neumann, G. ; Peters, J. (2013)
Autonomous Reinforcement Learning with Hierarchical REPS.
International Joint Conference on Neural Networks (IJCNN). Dallas, Texas, USA (04.08.2013-09.08.2013)
Konferenzveröffentlichung, Bibliographie

Deisenroth, M. P. ; Neumann, G. ; Peters, J. (2013)
A Survey on Policy Search for Robotics.
In: Foundations and Trends in Robotics, 2 (1-2)
doi: 10.1561/2300000021
Artikel, Bibliographie

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 (21.04.2012-23.04.2012)
Konferenzveröffentlichung, Bibliographie

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)
Artikel, Bibliographie

Deisenroth, M. P. ; Mohamed, S. (2012)
Expectation Propagation in Gaussian Process Dynamical Systems.
Advances in Neural Information Processing Systems 26 (NIPS), Cambridge, MA: MIT Press.. Lake Tahoe, Nevada (03.12.2012-08.12.2012)
Konferenzveröffentlichung, Bibliographie

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 (07.10.2012-12.10.2012)
Konferenzveröffentlichung, Bibliographie

Daniel, C. ; Neumann, G. ; Peters, J. (2012)
Learning Concurrent Motor Skills in Versatile Solution Spaces.
Proceedings of the International Conference on Robot Systems (IROS).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Detry, R. ; Kraft, D. ; Krömer, O. ; Bodenhagen, L. ; Peters, J. ; Krüger, N. ; Piater, J. (2011)
Learning Grasp Affordance Densities.
In: Paladyn Journal of Behavioral Robotics, (2(1))
Artikel, Bibliographie

Detry, R. ; Kraft, D. ; Kroemer, O. ; Peters, J. ; Krueger, N. ; Piater, J. (2011)
Learning Grasp Affordance Densities.
(1)
Artikel, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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: From Motor Learning to Interaction Learning in Robots
Buchkapitel, Bibliographie

Deisenroth, M. P. ; Rasmussen, C. E. ; Peters, J. (2009)
Gaussian Process Dynamic Programming.
In: Neurocomputing, (72(7-9))
Artikel, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Deisenroth, Marc Peter ; Rasmussen, Carl Edward ; Peters, Jan (2009)
Gaussian Process Dynamic Programming.
In: Neurocomputing, 72 (7-9)
Artikel, Bibliographie

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 (05.06.2009-07.06.2009)
Konferenzveröffentlichung, Bibliographie

Deisenroth, M. ; Peters, J. ; Rasmussen, C. (2008)
Approximate Dynamic Programming with Gaussian Processes.
American Control Conference (ACC).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Deisenroth, M. P. ; Peters, J. ; Rasmussen, C. E. (2008)
Approximate Dynamic Programming with Gaussian Processes.
American Control Conference. Seattle, Washington (11.06.2008-13.06.2008)
Konferenzveröffentlichung, Bibliographie

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 (23.04.2008-25.04.2008)
Konferenzveröffentlichung, Bibliographie

Daniel, C. ; Neumann, G. ; Kroemer, O. ; Peters, J. (2000)
Hierarchical Relative Entropy Policy Search.
In: Journal of Machine Learning Research, 1
Artikel, Bibliographie

E

Eilers, Christian ; Eschmann, Jonas ; Menzenbach, Robin ; Belousov, Boris ; Muratore, Fabio ; Peters, Jan (2022)
Underactuated Waypoint Trajectory Optimization for Light Painting Photography.
International Conference on Robotics and Automation (ICRA). Paris, France (31.05-31.08.2020)
doi: 10.1109/ICRA40945.2020.9196516
Konferenzveröffentlichung, Bibliographie

Ewerton, Marco ; Arenz, Oleg ; Peters, Jan (2020)
Assisted teleoperation in changing environments with a mixture of virtual guides.
In: Advanced Robotics, 34 (18)
doi: 10.1080/01691864.2020.1785326
Artikel, Bibliographie

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
doi: 10.3389/frobt.2019.00089
Artikel, Bibliographie

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
doi: 10.3389/fnbot.2018.00024
Artikel, Bibliographie

Ewerton, M. ; Kollegger, G. ; Maeda, G. ; Wiemeyer, J. ; Peters, J. (2017)
Iterative Feedback-basierte Korrekturstrategien beim Bewegungslernen von Mensch-Roboter-Dyaden.
DVS Sportmotorik 2017.
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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.
Anderes, Bibliographie

Ewerton, M. ; Maeda, G. ; Neumann, G. ; Kisner, V. ; Kollegger, G. ; Wiemeyer, J. ; Peters, J. (2016)
Movement Primitives with Multiple Phase Parameters.
Konferenzveröffentlichung, Bibliographie

Ewerton, M. ; Maeda, G. J. ; Kollegger, G. ; Wiemeyer, J. ; Peters, J. (2016)
Incremental Imitation Learning of Context-Dependent Motor Skills.
Konferenzveröffentlichung, Bibliographie

Ewerton, M. ; Neumann, G. ; Lioutikov, R. ; Ben Amor, H. ; Peters, J. ; Maeda, G. (2015)
Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives.
Konferenzveröffentlichung, Bibliographie

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.
Anderes, Bibliographie

Ewerton, M. ; Maeda, G. J. ; Peters, J. ; Neumann, G. (2015)
Learning Motor Skills from Partially Observed Movements Executed at Different Speeds.
Konferenzveröffentlichung, Bibliographie

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 (06.05.2013-10.05.2013)
Konferenzveröffentlichung, Bibliographie

Englert, P. ; Paraschos, A. ; Peters, J. ; Deisenroth, M. P. (2013)
Probabilistic Model-based Imitation Learning.
In: Adaptive Behavior Journal
Artikel, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Erkan, Ayşe Naz ; Detry, Renaud ; Altun, Yasemin ; Piater, Justus ; Peters, Jan ; Kroemer, Oliver (2010)
Learning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Taipei, Taiwan (18.10.2010-22.10.2010)
doi: 10.1109/IROS.2010.5650088
Konferenzveröffentlichung, Bibliographie

F

Flynn, Hamish (2023)
PAC-Bayesian Bandit Algorithms With Guarantees.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00024778
Dissertation, Erstveröffentlichung, Verlagsversion

Fernandes Veiga, Filipe (2018)
Towards Dexterous In-Hand Manipulation through Tactile Sensing.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Farraj, F. B. ; Osa, T. ; Pedemonte, N. ; Peters, J. ; Neumann, G. ; Giordano, P. R. (2017)
A Learning-based Shared Control Architecture for Interactive Task Execution.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).
Konferenzveröffentlichung, Bibliographie

Fiebig, Karl-Heinz ; Jayaram, Vinay ; Hesse, Thomas ; Blank, Alexander ; Peters, Jan ; Grosse-Wentrup, Moritz (2017)
Bayesian Regression for Artifact Correction in Electroencephalography.
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017.
doi: 10.3217/978-3-85125-533-1-25
Konferenzveröffentlichung, Bibliographie

Fiebig, K.-H. ; Jayaram, V. ; Peters, J. ; Grosse-Wentrup, M. (2016)
Multi-Task Logistic Regression in Brain-Computer Interfaces.
6th Workshop on Brain-Machine Interface Systems. Budapest (08.10.2016-12.10.2016)
Konferenzveröffentlichung, Bibliographie

Fritsche, L. ; Unverzagt, F. ; Peters, J. ; Calandra, R. (2015)
First-Person Tele-Operation of a Humanoid Robot.
Konferenzveröffentlichung, Bibliographie

G

Gu, Shangding ; Kshirsagar, Alap ; Du, Yali ; Chen, Guang ; Peters, Jan ; Knoll, Alois (2023)
A human-centered safe robot reinforcement learning framework with interactive behaviors.
In: Frontiers in Neurorobotics, 17
doi: 10.3389/fnbot.2023.1280341
Artikel, Bibliographie

Gomez-Gonzalez, Sebastian ; Nemmour, Yassine ; Schölkopf, Bernhard ; Peters, Jan (2022)
Reliable Real-Time Ball Tracking for Robot Table Tennis.
In: Robotics, 8 (4)
doi: 10.3390/robotics8040090
Artikel, Bibliographie

Gomez Gonzalez, Sebastian (2020)
Real Time Probabilistic Models for Robot Trajectories.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00011492
Dissertation, Erstveröffentlichung

Gebhardt, Gregor H.W. (2019)
Using Mean Embeddings for State Estimation and Reinforcement Learning.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Gebhardt, G. H. W. ; Daun, K. ; Schnaubelt, M. ; Neumann, G. (2018)
Learning Robust Policies for Object Manipulation with Robot Swarms.
IEEE International Conference on Robotics and Automation. Brisbane, Australia (21.05.2018-25.05.2018)
doi: 10.1109/ICRA.2018.8463215
Konferenzveröffentlichung, Bibliographie

Gondaliya, K. D. ; Peters, J. ; Rueckert, E. (2018)
Learning to Categorize Bug Reports with LSTM Networks.
The 10th International Conference on Advances in System Testing and Validation Lifecycle (VALID). Nice, France
Konferenzveröffentlichung, Bibliographie

Gebhardt, G. H. W. ; Kupcsik, A. G. ; Neumann, G. (2017)
The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares.
Proceedings of the National Conference on Artificial Intelligence (AAAI).
Konferenzveröffentlichung, Bibliographie

Gabriel, A. ; Akrour, R. ; Peters, J. ; Neumann, G. (2017)
Empowered Skills.
Proceedings of the International Conference on Robotics and Automation (ICRA).
Konferenzveröffentlichung, Bibliographie

Gebhardt, G. H. W. ; Daun, K. ; Schnaubelt, M. ; Hendrich, A. ; Kauth, D. ; Neumann, G. (2017)
Learning to Assemble Objects with a Robot Swarm.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 17).
Konferenzveröffentlichung, Bibliographie

Grossberger, L. ; Hohmann, M. R. ; Peters, J. ; Grosse-Wentrup, M. (2017)
Investigating Music Imagery as a Cognitive Paradigm for Low-Cost Brain-Computer Interfaces.
Proceedings of the 7th Graz Brain-Computer Interface Conference.
Konferenzveröffentlichung, Bibliographie

Gomez-Gonzalez, S. ; Neumann, G. ; Schoelkopf, B. ; Peters, J. (2016)
Using Probabilistic Movement Primitives for Striking Movements.
Konferenzveröffentlichung, Bibliographie

Gomez, V. ; Kappen, B. ; Peters, J. ; Neumann, G. (2014)
Policy Search for Path Integral Control.
European Conference on Machine Learning (ECML). Nancy (15.09.2014-19.09.2014)
Konferenzveröffentlichung, Bibliographie

Gopalan, N. ; Deisenroth, M. P. ; Peters, J. (2013)
Feedback Error Learning for Rhythmic Motor Primitives.
IEEE International Conference on Robotics and Automation (ICRA). Karlsruhe (06.05.2013-10.05.2013)
Konferenzveröffentlichung, Bibliographie

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

Gomez-Rodriguez, M. ; Grosse-Wentrup, M. ; Hill, J. ; Schölkopf, B. ; Gharabaghi, A. ; Peters, J. (2011)
Towards Brain-Robot Interfaces for Stroke Rehabilitation.
Proceedings of the International Conference on Rehabilitation Robotics (ICORR).
Konferenzveröffentlichung, Bibliographie

Gomez-Rodriguez, M. ; Peters, J. ; Hill, J. ; Schoelkopf, B. ; Gharabaghi, A. ; Grosse-Wentrup, M. (2011)
Closing the Sensorimotor Loop: Haptic Feedback Helps Decoding of Motor Imagery.
In: Journal of Neural Engineering, 8 (3)
doi: 10.1088/1741-2560/8/3/036005
Artikel, Bibliographie

Gomez-Rodriguez, M. ; Grosse-Wentrup, M. ; Hill, J. ; Schoelkopf, B. ; Gharabaghi, A. ; Peters, J. (2011)
Towards Brain-Robot Interfaces for Stroke Rehabilitation.
Proceedings of the International Conference on Rehabilitation Robotics (ICORR). San Francisco, California (25.09.2011-30.09.2011)
Konferenzveröffentlichung, Bibliographie

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

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

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

Gomez Rodriguez, M. ; Peters, J. ; Hill, J. ; Gharabaghi, A. ; Schölkopf, B. ; Grosse-Wentrup, M. (2010)
BCI and robotics framework for stroke rehabilitation.
Proceedings of the 4th International BCI Meeting, May 31-June 4, 2010. Asilomar, CA, USA.
Konferenzveröffentlichung, Bibliographie

Gomez-Rodriguez, M. ; Grosse-Wentrup, M. ; Peters, J. ; Naros, G. ; Hill, J. ; Gharabaghi, A. ; Schoelkopf, B. (2010)
Epidural ECoG Online Decoding of Arm Movement Intention in Hemiparesis.
1st ICPR Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging. Istanbul, Turkey (22.08.2010-22.08.2010)
doi: 10.1109/WBD.2010.17
Konferenzveröffentlichung, Bibliographie

Gomez-Rodriguez, M. ; Peters, J. ; Hill, J. ; Schoelkopf, B. ; Gharabaghi, A. ; Grosse-Wentrup, M. (2010)
Closing the Sensorimotor Loop: Haptic Feedback Facilitates Decoding of Arm Movement Imagery.
IEEE International Conference on Systems, Man, and Cybernetics (Workshop on Brain-Machine Interfaces). Istanbul, Turkey (10.10.2010-13.10.2010)
doi: 10.1109/ICSMC.2010.5642217
Konferenzveröffentlichung, Bibliographie

Gomez Rodriguez, M. ; Kober, J. ; Schoelkopf, B. (2009)
Denoising photographs using dark frames optimized by quadratic programming.
Proceedings of the First IEEE International Conference on Computational Photography (ICCP 2009). San Francisco, CA, USA (16.04.2009-17.04.2009)
doi: 10.1109/ICCPHOT.2009.5559013
Konferenzveröffentlichung, Bibliographie

H

Hoof, H. van ; Tanneberg, D. ; Peters, J. (2017)
Generalized Exploration in Policy Search.
In: Machine Learning (MLJ), (9-10)
Artikel, Bibliographie

Hoof, H. van ; Neumann, G. ; Peters, J. (2017)
Non-parametric Policy Search with Limited Information Loss.
In: Journal of Machine Learning Research, (73)
Artikel, Bibliographie

Hoof, Herke van (2016)
Machine Learning through Exploration for Perception-Driven Robotics.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Hoof, H. van ; Chen, N. ; Karl, M. ; Smagt, P. van der ; Peters, J. (2016)
Stable Reinforcement Learning with Autoencoders for Tactile and Visual Data.
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).
Konferenzveröffentlichung, Bibliographie

Huang, Yanlong ; Büchler, Dieter ; Koc, Okan ; Schölkopf, Bernhard ; Peters, Jan (2016)
Jointly Learning Trajectory Generation and Hitting Point Prediction in Robot Table Tennis.
Cancun, Mexico (15.11.2016-17.11.2016)
doi: 10.1109/HUMANOIDS.2016.7803343
Konferenzveröffentlichung, Bibliographie

Hoof, H. van ; Peters, J. ; Neumann, G. (2015)
Learning of Non-Parametric Control Policies with High-Dimensional State Features.
Konferenzveröffentlichung, Bibliographie

Huang, Y. ; Schoelkopf, B. ; Peters, J. (2015)
Learning Optimal Striking Points for A Ping-Pong Playing Robot.
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).
Konferenzveröffentlichung, Bibliographie

Hoelscher, J. ; Peters, J. ; Hermans, T. (2015)
Evaluation of Interactive Object Recognition with Tactile Sensing.
International Conference on Humanoid Robots (HUMANOIDS). Seoul (03.11.2015-05.11.2015)
Konferenzveröffentlichung, Bibliographie

Hoof, H. van ; Hermans, T. ; Neumann, G. ; Peters, J. (2015)
Learning Robot In-Hand Manipulation with Tactile Features.
International Conference on Humanoid Robots (HUMANOIDS). Seoul (03.11.2015-05.11.2015)
Konferenzveröffentlichung, Bibliographie

Haji-Ghassemi, N. ; Deisenroth, M. P. (2014)
Approximate Inference for Long-Term Forecasting with Periodic Gaussian Processes.
Konferenzveröffentlichung, Bibliographie

Hoof, H. van ; Kroemer, O. ; Peters, J. (2014)
Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments.
In: IEEE Transactions on Robotics (TRo)",, (5)
Artikel, Bibliographie

Hermans, T. ; Veiga, F. ; Hölscher, J. ; Hoof, H. van ; Peters, J. (2014)
Demonstration: Learning for Tactile Manipulation.
Advances in Neural Information Processing Systems (NIPS), Demonstration Track.. Montreal, Canada (08.12.2014-13.12.2014)
Konferenzveröffentlichung, Bibliographie

Hoof, H. van ; Kroemer, O. ; Peters, J. (2013)
Probabilistic Interactive Segmentation for Anthropomorphic Robots in Cluttered Environments.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
Konferenzveröffentlichung, Bibliographie

Hoof, H. van ; Kroemer, O. ; Ben Amor, H. ; Peters, J. (2012)
Maximally Informative Interaction Learning for Scene Exploration.
Proceedings of the International Conference on Robot Systems (IROS).
Konferenzveröffentlichung, Bibliographie

Hachiya, H. ; Peters, J. ; Sugiyama, M. (2011)
Reward Weighted Regression with Sample Reuse.
In: Neural Computation, (23(11))
Artikel, Bibliographie

Hoof, H. van ; Zant, T. van der ; Wiering, M. A. (2011)
Adaptive Visual Face Tracking for an Autonomous Robot.
Belgian-Dutch Artificial Intelligence Conference (BNAIC 11).
Konferenzveröffentlichung, Bibliographie

Hachiya, H. ; Peters, J. ; Sugiyama, M. (2011)
Reward Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning.
In: Neural Computation, 23 (11)
Artikel, Bibliographie

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

Hachiya, H. ; Peters, J. ; Sugiyama, M. (2009)
Efficient Sample Reuse in EM-based Policy Search.
Proceedings of the 16th European Conference on Machine Learning (ECML).
Konferenzveröffentlichung, Bibliographie

Hoffman, M. ; Freitas, N. de ; Doucet, A. ; Peters, J. (2009)
An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats).
Konferenzveröffentlichung, Bibliographie

Hachiya, H. ; Akiyama, T. ; Sugiyama, M. ; Peters, J. (2009)
Efficient Data Reuse in Value Function Approximation.
Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.
Konferenzveröffentlichung, Bibliographie

Hachiya, H. ; Peters, J. ; Sugiyama, M. (2009)
Adaptive Importance Sampling with Automatic Model Selection in Reward Weighted Regression.
Proceedings of the Workshop of Technical Committee on Neurocomputing.
Konferenzveröffentlichung, Bibliographie

Hachiya, Hirotaka ; Peters, Jan ; Sugiyama, Masashi (2009)
Efficient Sample Reuse in EM-based Policy Search.
European Conference, ECML PKDD 2009. Bled, Slovenia (07.09.2009-11.09.2009)
doi: 10.1007/978-3-642-04180-8_48
Konferenzveröffentlichung, Bibliographie

Hachiya, Hirotaka ; Akiyama, Takayuki ; Sugiyama, Masashi ; Peters, Jan (2009)
Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning.
In: Neural Networks, 22 (10)
doi: 10.1016/j.neunet.2009.01.002
Artikel, Bibliographie

Hoffman, Matthew ; Freitas, Nando de ; Doucet, Arnaud ; Peters, Jan (2009)
An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats).
Konferenzveröffentlichung, Bibliographie

Hachiya, Hirotaka ; Akiyama, Takayuki ; Sugiyama, Masashi ; Peters, Jan (2009)
Efficient Data Reuse in Value Function Approximation.
Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.. Nashville, TN, USA (30.04.2009-02.04.2009)
doi: 10.1109/ADPRL.2009.4927519
Konferenzveröffentlichung, Bibliographie

Hachiya, H. ; Akiyama, T. ; Sugiyama, M. ; Peters, J. (2008)
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
Proceedings of the Twenty-Third National Conference on Artificial Intelligence (AAAI).
Konferenzveröffentlichung, Bibliographie

Hachiya, H. ; Akiyama, T. ; Sugiyama, M. ; Peters, J. (2008)
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
Conference on Artificial Intelligence (AAAI 2008). Chicago, Illinois (13.07.2008-17.07.2008)
Konferenzveröffentlichung, Bibliographie

I

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

Ivaldi, S. ; Peters, J. ; Padois, V. ; Nori, F. (2014)
Tools for simulating humanoid robot dynamics: a survey based on user feedback.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Madrid (18.11.2014-20.11.2014)
Konferenzveröffentlichung, Bibliographie

K

Klink, Pascal (2023)
Reinforcement Learning Curricula as Interpolations between Task Distributions.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00024782
Dissertation, Erstveröffentlichung, Verlagsversion

Klink, Pascal (2023)
Generalization and Transferability in Reinforcement Learning.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00024717
Masterarbeit, Erstveröffentlichung, Verlagsversion

Koert, Dorothea ; Trick, Susanne ; Ewerton, Marco ; Lutter, Michael ; Peters, Jan (2022)
Online Learning of an Open-Ended Skill Library for Collaborative Tasks.
International Conference on Humanoid Robots (Humanoids). Beijing, China (06.-09.11.2018)
doi: 10.1109/HUMANOIDS.2018.8625031
Konferenzveröffentlichung, Bibliographie

Koert, Dorothea (2020)
Interactive Machine Learning for Assistive Robots.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00014184
Dissertation, Erstveröffentlichung, Verlagsversion

Koert, Dorothea ; Kircher, Maximilian ; Salikutluk, Vildan ; D'Eramo, Carlo ; Peters, Jan (2020)
Multi-Channel Interactive Reinforcement Learning for Sequential Tasks.
In: Frontiers in Robotics and AI, 7
doi: 10.3389/frobt.2020.00097
Artikel, Bibliographie

Koc, Okan (2018)
Optimal Trajectory Generation and Learning Control for Robot Table Tennis.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Koert, D. ; Maeda, G. ; Neumann, G. ; Peters, J. (2018)
Learning Coupled Forward-Inverse Models with Combined Prediction Errors.
International Conference on Robotics and Automation (ICRA 2018). Brisbane, Australia (21.05.2018-25.05.2018)
Konferenzveröffentlichung, Bibliographie

Kroemer, Oliver ; Leischnig, Simon ; Luettgen, Stefan ; Peters, Jan (2018)
A Kernel-based Approach to Learning Contact Distributions for Robot Manipulation Tasks.
In: Autonomous Robots, 42 (3)
doi: 10.1007/s10514-017-9651-z
Artikel, Bibliographie

Koc, O. ; Maeda, G. ; Peters, J. (2018)
Online optimal trajectory generation for robot table tennis.
In: Robotics and Autonomous Systems, 105
Artikel, Bibliographie

Kupcsik, A. G. ; Deisenroth, M. P. ; Peters, J. ; Ai Poh, L. ; Vadakkepat, V. ; Neumann, G. (2017)
Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills.
In: Artificial Intelligence, 247
Artikel, Bibliographie

Kroemer, O. ; Peters, J. (2017)
A Comparison of Autoregressive Hidden Markov Models for Multi-Modal Manipulations with Variable Masses.
In: Robotics and Automation, and IEEE Robotics and Automation Letters (RA-L)",, (2)
Artikel, Bibliographie

Kollegger, G. ; Reinhardt, N. ; Ewerton, M. ; Peters, J. ; Wiemeyer, J. (2017)
Die Bedeutung der Beobachtungsperspektive beim Bewegungslernen von Mensch-Roboter-Dyaden.
DVS Sportmotorik 2017.
Konferenzveröffentlichung, Bibliographie

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.
23. Sportwissenschaftlicher Hochschultag der dvs.
Konferenzveröffentlichung, Bibliographie

Kollegger, G. ; Ewerton, M. ; Wiemeyer, J. ; Peters, J. (2017)
BIMROB — Bidirectional Interaction Between Human and Robot for the Learning of Movements.
In: Proceedings of the International Symposium on Experimental Robotics (ISER)",
Buchkapitel, Bibliographie

Kollegger, Wiemeyer (2017)
BIMROB - Bidirectional Interaction between human and robot for the learning of movements - Robot trains human - Human trains robot.
Inovation & Technologie im Sport - 23. Sportwissenschaftlicher Hochschultag der deutschen Vereinigung für Sportwissenschaft.
Konferenzveröffentlichung, Bibliographie

Koert, D. ; Maeda, G. J. ; Lioutikov, R. ; Neumann, G. ; Peters, J. (2016)
Demonstration Based Trajectory Optimization for Generalizable Robot Motions.
16th International Conference on Humanoid Robots (Humanoids 2016). Cancun, Mexico (15.11.2016-17.11.2016)
Konferenzveröffentlichung, Bibliographie

Kohlschuetter, J. ; Peters, J. ; Rueckert, E. (2016)
Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities.
Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON).
Konferenzveröffentlichung, Bibliographie

Koc, Okan ; Peters, Jan ; Maeda, Guilherme (2016)
A New Trajectory Generation Framework in Robotic Table Tennis.
Daejeon, South Korea (09.10.2016-14.10.2016)
doi: 10.1109/IROS.2016.7759552
Konferenzveröffentlichung, Bibliographie

Kollegger, G. ; Ewerton, M. ; Peters, J. ; Wiemeyer, J. (2016)
Bidirektionale Interaktion zwischen Mensch und Roboter beim Bewegungslernen (BIMROB).
11. Symposium der DVS Sportinformatik.
Konferenzveröffentlichung, Bibliographie

Kroemer, O. ; Daniel, C. ; Neumann, G. ; Hoof, H. van ; Peters, J. (2015)
Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks.
Proceedings of the International Conference on Robotics and Automation (ICRA).
Konferenzveröffentlichung, Bibliographie

Koc, O. ; Maeda, G. ; Neumann, G. ; Peters, J. (2015)
Optimizing Robot Striking Movement Primitives with Iterative Learning Control.
5th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2015. Seoul (03.11.2015-05.11.2015)
Konferenzveröffentlichung, Bibliographie

Kroemer, O. ; Hoof, H. van ; Neumann, G. ; Peters, J. (2014)
Learning to Predict Phases of Manipulation Tasks as Hidden States.
Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA).
Konferenzveröffentlichung, Bibliographie

Kamthe, S. ; Peters, J. ; Deisenroth, M. (2014)
Multi-modal filtering for non-linear estimation.
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
Konferenzveröffentlichung, Bibliographie

Kroemer, O. ; Peters, J. (2014)
Predicting Object Interactions from Contact Distributions.
IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Chicago, IL (14.09.2014-18.09.2014)
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Bagnell, D. ; Peters, J. (2013)
Reinforcement Learning in Robotics: A Survey.
In: International Journal of Robotics Research (IJRR)",, (11)
Artikel, Bibliographie

Kupcsik, A. G. ; Deisenroth, M. P. ; Peters, J. ; Neumann, G. (2013)
Data-Efficient Generalization of Robot Skills with Contextual Policy Search.
Proceedings of the National Conference on Artificial Intelligence (AAAI). Bellevue, Washington, USA (14.07.2013-18.07.2013)
Konferenzveröffentlichung, Bibliographie

Kroemer, O. ; Ben Amor, H. ; Ewerton, M. ; Peters, J. (2012)
Point Cloud Completion Using Extrusions.
12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012). Osaka, Japan
Konferenzveröffentlichung, Bibliographie

Kober, Jens (2012)
Learning Motor Skills: From Algorithms to Robot Experiments.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

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 (14.05.2012-18.05.2012)
Konferenzveröffentlichung, Bibliographie

Kober, Jens ; Wilhelm, Andreas ; Oztop, Erhan ; Peters, Jan (2012)
Reinforcement Learning to Adjust Parametrized Motor Primitives to New Situations.
In: Autonomous Robots, 33 (4)
doi: 10.1007/s10514-012-9290-3
Artikel, Bibliographie

Kober, Jens ; Muelling, Katharina ; Peters, Jan (2012)
Learning Throwing and Catching Skills : Video Track.
Vilamoura, Portugal (07.10.2012-12.10.2012)
doi: 10.1109/IROS.2012.6386267
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Peters, J. (2011)
Policy Search for Motor Primitives in Robotics.
In: Machine Learning, (84(1))
Artikel, Bibliographie

Krömer, O. ; Lampert, C. H. ; Peters, J. (2011)
Learning Dynamic Tactile Sensing with Robust Vision-based Training.
In: IEEE Transaction on Robotics, (27(3))
Artikel, Bibliographie

Krömer, O. ; Peters, J. (2011)
A Non-Parametric Approach to Dynamic Programming.
Advances in Neural Information Processing Systems 25 (NIPS 2011), Cambridge, MA: MIT Press.
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Oztop, E. ; Peters, J. (2011)
Reinforcement Learning to adjust Robot Movements to New Situations.
Proceedings of the International Joint Conference on Artificial Intelligence.
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Peters, J. (2011)
Learning Elementary Movements Jointly with a Higher Level Task.
IEEE/RSJ International Conference on Intelligent Robot Systems (IROS).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Krömer, 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).
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Peters, J. (2011)
Policy Search for Motor Primitives in Robotics.
Neural Information Processing Systems 2008. Vancouver, British Columbia, Canada (08.12.2008-10.12.2008)
Konferenzveröffentlichung, Bibliographie

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 (13.05.2011-19.05.2011)
Konferenzveröffentlichung, Bibliographie

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
Konferenzveröffentlichung, Bibliographie

Kroemer, Oliver ; Lampert, Christoph H. ; Peters, Jan (2011)
Learning Dynamic Tactile Sensing with Robust Vision-based Training.
In: IEEE TRANSACTIONS ON ROBOTICS, 27 (3)
Artikel, Bibliographie

Kroemer, O. ; Peters, J. (2011)
A Non-Parametric Approach to Dynamic Programming.
Neural Information Processing Systems 25 (NIPS 2011). Granada, Spain. 2011 (12.12.2011-14.12.2011)
Konferenzveröffentlichung, Bibliographie

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 (25.09.2011-30.09.2011)
Konferenzveröffentlichung, Bibliographie

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 (16.07.2011-22.07.2011)
Konferenzveröffentlichung, Bibliographie

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

Krömer, O. ; Detry, R. ; Piater, J. ; Peters, J. (2010)
Combining Active Learning and Reactive Control for Robot Grasping.
In: Robotics and Autonomous Systems, 58 (9)
doi: 10.1016/j.robot.2010.06.001
Artikel, Bibliographie

Kober, J. ; Oztop, E. ; Peters, J. (2010)
Reinforcement Learning to adjust Robot Movements to New Situations.
Robotics: Science and Systems (R:SS).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Krömer, O. ; Detry, R. ; Piater, J. ; Peters, J. (2010)
Grasping with Vision Descriptors and Motor Primitives.
Proceedings of the International Conference on Informatics in Control, Automation and Robotics (ICINCO).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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 (27.06.2010-30.06.2010)
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Kroemer, Oliver ; Detry, Renaud ; Piater, Justus ; Peters, Jan (2010)
Grasping with Vision Descriptors and Motor Primitives.
7th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2010). Funchal, Madeira, Portugal (15.06.2010-18.06.2010)
doi: 10.5220/0002938100470054
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Peters, J. (2010)
Imitation and Reinforcement Learning - Practical Algorithms for Motor Primitive Learning in Robotics.
In: IEEE Robotics & Automation Magazine, 17 (2)
Artikel, Bibliographie

Kober, Jens ; Mohler, Betty ; Peters, Jan (2010)
Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling.
In: From Motor Learning to Interaction Learning in Robots
doi: 10.1007/978-3-642-05181-4_10
Buchkapitel, Bibliographie

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 (03.05.2010-08.05.2010)
doi: 10.1109/ROBOT.2010.5509672
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Peters, J. (2009)
Policy Search for Motor Primitives.
In: Künstliche Intelligenz, Projektbericht, 3/09
Artikel, Bibliographie

Kober, J. ; Peters, J. (2009)
Policy Search for Motor Primitives in Robotics.
Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press.
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Peters, J. (2009)
Learning Motor Primitives for Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Kober, Jens ; Peters, Jan R. (2009)
Policy Search for Motor Primitives in Robotics.
22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS). Vancouver, Canada (08.12.2008-10.12.2008)
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Peters, J. (2009)
Learning Motor Primitives for Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). Kobe, Japan (12.05.2009-17.05.2009)
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Peters, J. (2009)
Learning new basic Movements for Robotics.
Proceedings of Autonome Mobile Systeme (AMS 2009).
Konferenzveröffentlichung, Bibliographie

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 (10.10.2009-15.10.2009)
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Mohler, B. ; Peters, J. (2008)
Learning Perceptual Coupling for Motor Primitives.
International Conference on Intelligent Robot Systems (IROS).
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Peters, J. (2008)
Reinforcement Learning of Perceptual Coupling for Motor Primitives.
Proceedings of the European Workshop on Reinforcement Learning (EWRL).
Konferenzveröffentlichung, Bibliographie

Kober, J. ; Peters, J. (2008)
Reinforcement Learning of Perceptual Coupling for Motor Primitives.
Proceedings of the European Workshop on Reinforcement Learning (EWRL).
Konferenzveröffentlichung, Bibliographie

Kober, J. (2008)
Reinforcement Learning for Motor Primitives.
Technische Universität Darmstadt
Dissertation, Bibliographie

L

Liu, Yuxi ; Belousov, Boris ; Schneider, Tim ; Harsono, Kevin ; Cheng, Tsung-Wei ; Shih, Shen-Guan ; Tessmann, Oliver ; Peters, Jan (2024)
Advancing Sustainable Construction: Discrete Modular Systems & Robotic Assembly.
In: Sustainability, 16 (15)
doi: 10.3390/su16156678
Artikel, Bibliographie

Look, Andreas (2023)
Deterministic Approximations for Deep State-Space Models.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00026352
Dissertation, Erstveröffentlichung, Verlagsversion

Löckel, Stefan Alexander (2022)
Machine Learning for Modeling and Analyzing of Race Car Drivers.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00020218
Dissertation, Erstveröffentlichung, Verlagsversion

Lampariello, Roberto (2021)
Optimal Motion Planning for Object Interception and Capture.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00017617
Dissertation, Erstveröffentlichung, Verlagsversion

Lutter, Michael (2021)
Inductive Biases in Machine Learning for Robotics and Control.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00020048
Dissertation, Erstveröffentlichung, Verlagsversion

Laux, Melvin ; Arenz, Oleg ; Peters, Jan ; Pajarinen, Joni (2021)
Deep Adversarial Reinforcement Learning for Object Disentangling.
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Las Vegas, USA (Virtual) (24.10.2020-24.01.2021)
doi: 10.1109/IROS45743.2020.9341578
Konferenzveröffentlichung, Bibliographie

Lioutikov, Rudolf ; Maeda, Guilherme ; Veiga, Filipe ; Kersting, Kristian ; Peters, Jan (2020)
Learning attribute grammars for movement primitive sequencing.
In: The International Journal of Robotics Research, 39 (1)
doi: 10.1177/0278364919868279
Artikel, Bibliographie

Lauri, Mikko ; Pajarinen, Joni ; Peters, Jan (2019)
Information Gathering in Decentralized POMDPs by Policy Graph Improvement.
18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019). Montreal, Kanada (13.-17.05.2019)
Konferenzveröffentlichung, Bibliographie

Lutter, Michael ; Ritter, Christian ; Peters, Jan (2019)
Deep Lagrangian Networks: Using physics as model prior for Deep Learning.
7th International Conference on Learning Representations (ICLR'19). New Orleans, United States (06.05.2019-09.05.2019)
Konferenzveröffentlichung, Bibliographie

Lioutikov, Rudolf (2018)
Parsing Motion and Composing Behavior for Semi-Autonomous Manipulation.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Lioutikov, R. ; Maeda, G. ; Veiga, F. F. ; Kersting, K. ; Peters, J. (2018)
Inducing Probabilistic Context-Free Grammars for the Sequencing of Robot Movement Primitives.
2018 IEEE International Conference on Robotics and Automation (ICRA). Brisbane, QLD, Australia (21.05.2018-26.05.2018)
Konferenzveröffentlichung, Bibliographie

Lioutikov, Rudolf ; Neumann, Gerhard ; Maeda, Guilherme ; Peters, Jan (2017)
Learning Movement Primitive Libraries through Probabilistic Segmentation.
In: International Journal of Robotics Research, 36 (8)
doi: 10.1177/0278364917713116
Artikel, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

Lioutikov, R. ; Neumann, G. ; Maeda, G. J. ; Peters, J. (2015)
Probabilistic Segmentation Applied to an Assembly Task.
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Luck, Kevin Sebastian (2014)
Latent Space Reinforcement Learning.
Technische Universität Darmstadt
Bachelorarbeit, Erstveröffentlichung

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)
Artikel, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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 (14.09.2014-18.09.2014)
Konferenzveröffentlichung, Bibliographie

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 (31.05.2014-07.06.2014)
Konferenzveröffentlichung, Bibliographie

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)
Artikel, Bibliographie

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

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).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Lampert, C. H. ; Kroemer, O. (2010)
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning.
11th European Conference on Computer Vision (ECCV 2010).
doi: 10.1007/978-3-642-15552-9_41
Konferenzveröffentlichung, Bibliographie

Lampert, C. H. ; Peters, J. (2009)
Active Structured Learning for High-Speed Object Detection.
Proceedings of the DAGM (Pattern Recognition).
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

Lampert, C. H. ; Peters, J. (2009)
Active Structured Learning for High-Speed Object Detection.
Proceedings of the DAGM (Pattern Recognition).
doi: 10.1007/978-3-642-03798-6_23
Konferenzveröffentlichung, Bibliographie

Lesperance, Y. ; Lakemeyer, G. ; Peters, J. ; Pirri, F. (2008)
Proceedings of the 6th International Cognitive Robotics Workshop (CogRob 2008) : July 21-22, 2008.
Buch, Bibliographie

M

Moos, Janosch ; Hansel, Kay ; Abdulsamad, Hany ; Stark, Svenja ; Clever, Debora ; Peters, Jan (2022)
Robust Reinforcement Learning: A Review of Foundations and Recent Advances.
In: Machine Learning and Knowledge Extraction, 4 (1)
doi: 10.3390/make4010013
Artikel, Bibliographie

Muratore, Fabio ; Ramos, Fabio ; Turk, Greg ; Yu, Wenhao ; Gienger, Michael ; Peters, Jan (2022)
Robot Learning From Randomized Simulations: A Review.
In: Frontiers in Robotics and AI, 9
doi: 10.3389/frobt.2022.799893
Artikel, Bibliographie

Muratore, Fabio (2021)
Randomizing Physics Simulations for Robot Learning.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00019940
Dissertation, Erstveröffentlichung, Verlagsversion

Manschitz, Simon ; Gienger, Michael ; Kober, Jens ; Peters, Jan (2020)
Learning Sequential Force Interaction Skills.
In: Robotics, 9 (2)
doi: 10.3390/robotics9020045
Artikel, Bibliographie

Manschitz, Simon (2018)
Learning Sequential Skills for Robot Manipulation Tasks.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

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)
Artikel, Bibliographie

Muratore, F. ; Treede, F. ; Gienger, M. ; Peters, J. (2018)
Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment.
Conference on Robot Learning (CoRL).
Konferenzveröffentlichung, Bibliographie

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)
Artikel, Bibliographie

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)
Artikel, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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)
Artikel, Bibliographie

Modugno, V. ; Neumann, G. ; Rueckert, E. ; Oriolo, G. ; Peters, J. ; Ivaldi, S. (2016)
Learning soft task priorities for control of redundant robots.
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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)
Artikel, Bibliographie

Manschitz, S. ; Kober, J. ; Gienger, M. ; Peters, J. (2015)
Probabilistic Progress Prediction and Sequencing of Concurrent Movement Primitives.
Konferenzveröffentlichung, Bibliographie

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
Artikel, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

Merfels, Christian (2014)
Large-scale probabilistic feature mapping and tracking for autonomous driving.
Technische Universität Darmstadt
Masterarbeit, Erstveröffentlichung

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)
Artikel, Bibliographie

Manschitz, S. ; Kober, J. ; Gienger, M. ; Peters, J. (2014)
Learning to Unscrew a Light Bulb from Demonstrations.
Proceedings of ISR/ROBOTIK 2014. München (02.06.2014-03.06.2014)
Konferenzveröffentlichung, Bibliographie

Muelling, K. ; Boularias, A. ; Schoelkopf, B. ; Peters, J. (2014)
Learning Strategies in Table Tennis using Inverse Reinforcement Learning.
In: Biological Cybernetics, (5)
Artikel, Bibliographie

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 (14.09.2014-18.09.2014)
Konferenzveröffentlichung, Bibliographie

Maeda, G. J. ; Ewerton, M. ; Lioutikov, R. ; Amor, H. B. ; Peters, J. ; Neumann, G. (2014)
Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Madrid (18.11.2014-20.11.2014)
Konferenzveröffentlichung, Bibliographie

Muelling, Katharina (2013)
Modeling and Learning of Complex Motor Tasks: A Case Study with Robot Table Tennis.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

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)
Artikel, Bibliographie

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] (07.10.2012-12.10.2012)
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2011)
A Biomimetic Approach to Robot Table Tennis.
In: Adaptive Behavior, 19 (5)
doi: 10.1177/1059712311419378
Artikel, Bibliographie

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

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).
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2010)
Simulating Human Table Tennis with a Biomimetic Robot Setup.
From Animals to Animats 11 : 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Paris-Clos Lucé, France (25.08.2010-28.08.2010)
doi: ttps://doi.org/10.1007/978-3-642-15193-4_26
Konferenzveröffentlichung, Bibliographie

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)
Artikel, Bibliographie

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2010)
A Biomimetic Approach to Robot Table Tennis.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Taipei, Taiwan (18.10.2010-22.10.2010)
doi: 10.1109/IROS.2010.5650305
Konferenzveröffentlichung, Bibliographie

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2010)
Learning Table Tennis with a Mixture of Motor Primitives.
10th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2010). Nashville, TN, USA (06.12.2010-08.12.2010)
doi: 10.1109/ICHR.2010.5686298
Konferenzveröffentlichung, Bibliographie

Mülling, K. ; Peters, J. (2009)
A computational model of human table tennis for robot application.
Proceedings of Autonome Mobile Systeme (AMS).
Konferenzveröffentlichung, Bibliographie

Muelling, K. ; Peters, J. (2009)
A computational model of human table tennis for robot application.
Autonome Mobile Systeme 2009 (AMS 2009). Karlsruhe (03.12.2009-04.12.2009)
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

N

Nass, David ; Belousov, Boris ; Peters, Jan (2022)
Entropic Risk Measure in Policy Search.
International Conference on Intelligent Robots and Systems (IROS). Macau, China (03.-08.11.2019)
Konferenzveröffentlichung, Bibliographie

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
Artikel, Bibliographie

Nori, F. ; Peters, J. ; Padois, V. ; Babic, J. ; Mistry, M. ; Ivaldi, S. (2014)
Whole-body motion in humans and humanoids.
Proceedings of the Workshop on New Research Frontiers for Intelligent Autonomous Systems (NRF-IAS).
Konferenzveröffentlichung, Bibliographie

Neumann, G. ; Kupcsik, A. G. ; Deisenroth, M. P. ; Peters, J. (2013)
Information-Theoretic Motor Skill Learning.
2013 AAAI Workshop. Bellevue, WA, USA
Konferenzveröffentlichung, Bibliographie

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)
doi: 10.1109/TNNLS.2012.2201261
Artikel, Bibliographie

Nguyen-Tuong, D. ; Peters, J. (2011)
Incremental Sparsication for Real-time Online Model Learning.
In: Neurocomputing, 74(11), pp.1859-1867
Artikel, Bibliographie

Nguyen-Tuong, D. ; Peters, J. (2011)
Model Learning in Robotics: a Survey.
In: Cognitive Processing, (12(4))
Artikel, Bibliographie

Nguyen-Tuong, D. ; Peters, J. (2011)
Learning Task-Space Tracking Control with Kernels.
IEEE/RSJ International Conference on Intelligent Robot Systems (IROS).
Konferenzveröffentlichung, Bibliographie

Nguyen-Tuong, D. ; Peters, J. (2011)
Incremental Sparsification for Real-time Online Model Learning.
In: Neurocomputing, (11)
Artikel, Bibliographie

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 (25.09.2011-30.09.2011)
Konferenzveröffentlichung, Bibliographie

Nguyen-Tuong, D. ; Peters, J. (2011)
Model Learning in Robotics: a Survey.
In: Cognitive Processing, 12 (4)
doi: 10.1007/s10339-011-0404-1
Artikel, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Nguyen-Tuong, D. ; Peters, J. (2010)
Using Model Knowledge for Learning Inverse Dynamics.
IEEE International Conference on Robotics and Automation (ICRA).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Nguyen-Tuong, Duy ; Seeger, Matthias ; Peters, Jan (2010)
Real-Time Local GP Model Learning.
In: From Motor Learning to Interaction Learning in Robots
doi: 10.1007/978-3-642-05181-4_9
Buchkapitel, Bibliographie

Nguyen-Tuong, D. ; Peters, J. (2010)
Using Model Knowledge for Learning Inverse Dynamics.
IEEE International Conference on Robotics and Automation. Anchorage, AK, USA (03.05.2010-08.05.2010)
Konferenzveröffentlichung, Bibliographie

Nguyen-Tuong, D. ; Seeger, M. ; Peters, J. (2009)
Model Learning with Local Gaussian Process Regression.
In: Advanced Robotics, 23 (15)
Artikel, Bibliographie

Nguyen-Tuong, D. ; Seeger, M. ; Peters, J. (2009)
Local Gaussian Process Regression for Real Time Online Model Learning and Control.
Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press.
Konferenzveröffentlichung, Bibliographie

Neumann, G. ; Peters, J. (2009)
Fitted Q-iteration by Advantage Weighted Regression.
Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press.
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Nguyen-Tuong, Duy ; Seeger, Matthias ; Peters, Jan (2009)
Local Gaussian Process Regression for Real Time Online Model Learning and Control.
22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS). Vancouver, B. C., Canada (08.12.2010-10.12.2010)
Konferenzveröffentlichung, Bibliographie

Neumann, Gerhard ; Peters, Jan R. (2009)
Fitted Q-iteration by Advantage Weighted Regression.
22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS). Vancouver, Canada (08.12.2008-10.12.2008)
Konferenzveröffentlichung, Bibliographie

Nguyen-Tuong, Duy ; Schoelkopf, Bernhard ; Peters, Jan (2009)
Sparse Online Model Learning for Robot Control with Support Vector Regression.
IROS 2009. St. Louis, MO, USA (10.10.2009-15.10.2009)
Konferenzveröffentlichung, Bibliographie

Neumann, Gerhard ; Maass, Wolfgang ; Peters, Jan (2009)
Learning Complex Motions by Sequencing Simpler Motion Templates.
ICML '09. Montreal, Quebec, Canada (14.06.2009-18.06.2009)
doi: 10.1145/1553374.1553471
Konferenzveröffentlichung, Bibliographie

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 (22.09.2008-26.09.2008)
Konferenzveröffentlichung, Bibliographie

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 (23.04.2008-25.04.2008)
Konferenzveröffentlichung, Bibliographie

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

Nguyen-Tuong, D. ; Seeger, M. ; Peters, J. (2008)
Computed Torque Control with Nonparametric Regression Techniques.
American Control Conference (ACC).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Nguyen-Tuong, D. ; Peters, J. (2008)
Local Gaussian Processes Regression for Real-time Model-based Robot Control.
International Conference on Intelligent Robot Systems(IROS).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Nguyen-Tuong, D. ; Peters, J. ; Seeger, M. ; Schoelkopf, B. (2008)
Computed Torque Control with Nonparametric Regressions Techniques.
American Control Conference. Seattle, Washington (11.06.2008-13.06.2008)
Konferenzveröffentlichung, Bibliographie

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)
doi: 10.1177/0278364908091463
Artikel, Bibliographie

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 2008. Edinburgh, UK (06.08.2008-08.08.2008)
doi: 10.1109/LAB-RS.2008.16
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Nakanishi, J. ; Mistry, M. ; Peters, J. ; Schaal, S. (2007)
Experimental evaluation of task space position/orientation control towards compliant control for humanoid robots.
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems. (29.10.2007-02.11.2007)
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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 (02.08.2005-06.08.2005)
Konferenzveröffentlichung, Bibliographie

Nakanishi, Jun ; Cory, Rick ; Mistry, Michael ; Peters, Jan ; Schaal, Stefan (2005)
Comparative experiments on task space control with redundancy resolution.
IEEE International Conference on Intelligent Robots and Systems (IROS 2005). Edmonton, Canada (02.08.2005-06.08.2005)
doi: 10.1109/IROS.2005.1545203
Konferenzveröffentlichung, Bibliographie

O

Osa, T. ; Peters, J. ; Neumann, G. (2018)
Hierarchical Reinforcement Learning of Multiple Grasping Strategies with Human Instructions.
In: Advanced Robotics, 32 (18)
doi: 10.1080/01691864.2018.1509018
Artikel, Bibliographie

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)
Artikel, Bibliographie

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)
Artikel, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

P

Prasad, Vignesh (2024)
Learning Human-Robot Interaction: A Case Study on Human-Robot Handshaking.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00019025
Dissertation, Erstveröffentlichung, Verlagsversion

Prasad, Vignesh ; Koert, Dorothea ; Stock-Homburg, Ruth ; Peters, Jan ; Chalvatzaki, Georgia (2022)
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction.
Humanoids2022. Ginowan, Japan (28.11.2022-30.11.2022)
doi: 10.1109/Humanoids53995.2022.10000239
Konferenzveröffentlichung, Bibliographie

Pajarinen, Joni ; Thai, Hong Linh ; Akrour, Riad ; Peters, Jan ; Neumann, Gerhard (2022)
Compatible natural gradient policy search.
In: Machine Learning, 108 (8-9)
doi: 10.1007/s10994-019-05807-0
Artikel, Bibliographie

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.
In: Algorithms, 15 (3)
doi: 10.3390/a15030081
Artikel, Bibliographie

Ploeger, Kai ; Lutter, Michael ; Peters, Jan (2022)
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards.
Conference on Robot Learning (CoRL) 2020. Cambridge MA, USA (16.-18.11.2020)
Konferenzveröffentlichung, Bibliographie

Prasad, Vignesh ; Stock-Homburg, Ruth ; Peters, Jan (2021)
Human-Robot Handshaking: A Review.
In: International Journal of Social Robotics
doi: 10.1007/s12369-021-00763-z
Artikel, Bibliographie

Parisi, Simone (2020)
Reinforcement Learning with Sparse and Multiple Rewards.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00011372
Dissertation, Erstveröffentlichung

Pajarinen, Joni ; Arenz, Oleg ; Peters, Jan ; Neumann, Gerhard (2020)
Probabilistic Approach to Physical Object Disentangling.
In: IEEE Robotics and Automation Letters, 5 (4)
doi: 10.1109/LRA.2020.3006789
Artikel, Bibliographie

Paraschos, A. ; Daniel, C. ; Peters, J. ; Neumann, G. (2018)
Using Probabilistic Movement Primitives in Robotics.
In: Autonomous Robots, 42 (3)
Artikel, Bibliographie

Paraschos, A. ; Rueckert, E. ; Peters, J. ; Neumann, G. (2018)
Probabilistic Movement Primitives under Unknown System Dynamics.
In: Advanced Robotics, 32 (6)
Artikel, Bibliographie

Pinsler, Robert ; Akrour, Riad ; Osa, Takayuki ; Peters, Jan ; Neumann, Gerhard (2018)
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences.
Brisbane, QLD, Australia (21.05.2018-25.05.2018)
doi: 10.1109/ICRA.2018.8460907
Konferenzveröffentlichung, Bibliographie

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
Artikel, Bibliographie

Paraschos, Alexandros (2017)
Robot Skill Representation, Learning and Control with Probabilistic Movement Primitives.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

Parisi, S. ; Pirotta, M. ; Peters, J. (2017)
Manifold-based Multi-objective Policy Search with Sample Reuse.
In: Neurocomputing, 263
Artikel, Bibliographie

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
Artikel, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Paraschos, Alexandros ; Lioutikov, Rudolf ; Peters, Jan ; Neumann, Gerhard (2017)
Probabilistic Prioritization of Movement Primitives.
In: IEEE Robotics and Automation Letters, 2 (4)
doi: 10.1109/LRA.2017.2725440
Artikel, Bibliographie

Peters, Jan ; Tedrake, Russ ; Roy, Nick ; Morimoto, Jun (2017)
Robot Learning.
In: Encyclopedia of Machine Learning and Data Mining, Auflage: 2nd ed.
Buchkapitel, Bibliographie

Peters, J. ; Lee, D. ; Kober, J. ; Nguyen-Tuong, D. ; Bagnell, J. ; Schaal, S. (2016)
Chapter 15: Robot Learning.
In: Springer Handbook of Robotics
Buchkapitel, Bibliographie

Parisi, S. ; Blank, A. ; Viernickel,, T. ; Peters, J. (2016)
Local-utopia Policy Selection for Multi-objective Reinforcement Learning.
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Bagnell, J. A. (2016)
Policy gradient methods.
In: Encyclopedia of Machine Learning, Auflage: 2nd. Edition
Buchkapitel, Bibliographie

Paraschos, A. ; Rueckert, E. ; Peters, J. ; Neumann, G. (2015)
Model-Free Probabilistic Movement Primitives for Physical Interaction.
Konferenzveröffentlichung, Bibliographie

Parisi, S. ; Abdulsamad, H. ; Paraschos, A. ; Daniel, C. ; Peters, J. (2015)
Reinforcement Learning vs Human Programming in Tetherball Robot Games.
Konferenzveröffentlichung, Bibliographie

Peters, Jan ; Muelling, Katharina ; Kober, Jens (2014)
Experiments with Motor Primitives in Table Tennis.
12th International Symposium on Experimental Robotics (ISER 2010).
doi: 10.1007/978-3-642-28572-1_24
Konferenzveröffentlichung, Bibliographie

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 (23.09.2013-27.09.2013)
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Kober, J. ; Muelling, K. ; Nguyen-Tuong, D. ; Kroemer, O. (2013)
Learning Skills with Motor Primitives.
16th Yale Learning Workshop. Yale (16.10.2013-20.10.2013)
Konferenzveröffentlichung, Bibliographie

Paraschos, A. ; Neumann, G. ; Peters, J. (2013)
A Probabilistic Approach to Robot Trajectory Generation.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
Konferenzveröffentlichung, Bibliographie

Paraschos, A. ; Daniel, C. ; Peters, J. ; Neumann, G.
Hrsg.: Burges, C. J. C. ; Bottou, L. ; Welling, M. ; Ghahramani, Z. ; Weinberger, K. Q. (2013)
Probabilistic Movement Primitives.
Advances in Neural Information Processing Systems (NIPS). Lake Tahoe, Nevada, USA (05.12.2013-10.12.2013)
Konferenzveröffentlichung, Bibliographie

Peters, J. (2013)
Machine Learning for Robotics.
Buch, Bibliographie

Peters, J. ; Kober, J. ; Muelling, K. ; Nguyen-Tuong, D. ; Kroemer, O. (2012)
Robot Skill Learning.
Proceedings of the European Conference on Artificial Intelligence (ECAI). Montpellier, France (27.08.2012-31.08.2012)
Konferenzveröffentlichung, Bibliographie

Piater, J. ; Jodogne, S. ; Detry, R. ; Kraft, D. ; Krüger, N. ; Krömer, O. ; Peters, J. (2011)
Learning Visual Representations for Perception-Action Systems.
In: International Journal of Robotics Research, (30(3))
Artikel, Bibliographie

Peters, Jan ; Tedrake, Russ ; Roy, Nicholas ; Morimoto, Jun (2011)
Robot Learning.
In: Encyclopedia of Machine Learning
doi: 10.1007/978-0-387-30164-8_732
Buchkapitel, Bibliographie

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)
doi: 10.1177/0278364910382464
Artikel, Bibliographie

Peters, Jan ; Kober, Jens ; Muelling, Katharina ; Nguyen-Tuong, Duy ; Kroemer, Oliver (2011)
Towards Motor Skill Learning for Robotics.
The 14th International Symposium ISRR. Luzern (31.08.2009-03.09.2009)
Konferenzveröffentlichung, Bibliographie

Peters, J. (2010)
Policy Gradient Methods.
In: Scholarpedia, 5(11):2698
Artikel, Bibliographie

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

Peters, J. ; Mülling, K. ; Altun, Y. (2010)
Relative Entropy Policy Search.
Proceedings of the Twenty-Fourth National Conference on Artificial Intelligence (AAAI).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Mülling, K. ; Kober, J. (2010)
Experiments with Motor Primitives to learn Table Tennis.
International Symposium on Experimental Robotics (ISER).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Bagnell, J. A. (2010)
Policy gradient methods.
Encyclopedia of Machine Learning.
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Muelling, K. ; Altun, Y. (2010)
Relative Entropy Policy Search.
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
Konferenzveröffentlichung, Bibliographie

Peters, Jan ; Bagnell, J. Andrew (2010)
Policy gradient methods.
In: Encyclopedia of Machine Learning
doi: 10.1007/978-0-387-30164-8_640
Buchkapitel, Bibliographie

Peters, Jan ; Kober, Jens ; Schaal, Stefan (2010)
Policy learning algorithmis for motor learning (Algorithmen zum automatischen Erlernen von Motorfaehigkigkeiten).
In: Automatisierungstechnik, 58 (12)
Artikel, Bibliographie

Peters, Jan ; Morimoto, Jun ; Tedrake, Russ ; Roy, Nicholas (2009)
Robot Learning [TC Spotlight].
In: IEEE Robotics & Automation Magazine, 16 (3)
doi: 10.1109/MRA.2009.933618
Artikel, Bibliographie

Peters, J. ; Ng, A. Y. (2009)
Guest Editorial: Special Issue on Robot Learning, Part B.
In: Autonomous Robots, 27(2)
Artikel, Bibliographie

Peters, J. ; Ng, A. Y. (2009)
Guest Editorial: Special Issue on Robot Learning, Part A.
In: Autonomous Robots, 27(1)
Artikel, Bibliographie

Peters, J. ; Kober, J. ; Mülling, K. ; Nguyen-Tuong, D. ; Krömer, O. (2009)
Towards Motor Skill Learning for Robotics.
Proceedings of the International Symposium on Robotics Research (ISRR).
Konferenzveröffentlichung, Bibliographie

Piater, J. ; Jodogne, S. ; Detry, R. ; Kraft, D. ; Krüger, N. ; Krömer, O. ; Peters, J. (2009)
Learning Visual Representations for Interactive Systems.
Proceedings of the International Symposium on Robotics Research (ISRR).
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

Peters, Jan ; Kober, Jens (2009)
Using Reward-Weighted Imitation for Robot Reinforcement Learning.
Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning. Nashville, TN, USA (30.04.2009-02.04.2009)
doi: 10.1109/ADPRL.2009.4927549
Konferenzveröffentlichung, Bibliographie

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 (31.08.2009-03.09.2009)
Konferenzveröffentlichung, Bibliographie

Peters, Jan ; Ng, Andrew Y. (2009)
Guest Editorial: Special Issue on Robot Learning, Part B.
In: Autonomous Robots, 27 (2)
Artikel, Bibliographie

Peters, J. ; Ng, A. (2009)
Guest Editorial: Special Issue on Robot Learning, Part A.
In: Autonomous Robots, 27 (1)
Artikel, Bibliographie

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 (19.05.2008-23.05.2008)
Konferenzveröffentlichung, Bibliographie

Peters, J. (2008)
Machine Learning for Robotics.
Buch, Bibliographie

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

Peters, J. ; Schaal, S. (2008)
Learning to Control in Operational Space.
In: International Journal of Robotics Research, 27, pp.197-212
Artikel, Bibliographie

Peters, J. (2008)
Machine Learning for Motor Skills in Robotics.
In: Künstliche Intelligenz, (08/4)
Artikel, Bibliographie

Peters, J. ; Schaal, S. (2008)
Reinforcement Learning of Motor Skills with Policy Gradients.
In: Neural Networks, 21(4), pp.682-97
Artikel, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

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). Villeneuve d’Ascq, France (30.06.2008-03.07.2008)
doi: 10.1007/978-3-540-89722-4_17
Konferenzveröffentlichung, Bibliographie

Peters, J. (2008)
Machine Learning for Motor Skills in Robotics.
In: KI - Künstliche Intelligenz, 22 (4)
Artikel, Bibliographie

Peters, J. ; Schaal, S. (2008)
Natural actor-critic.
In: Neurocomputing, 71 (7-9)
doi: 10.1016/j.neucom.2007.11.026
Artikel, Bibliographie

Peters, J. ; Schaal, S. (2008)
Learning to control in operational space.
In: The International Journal of Robotics Research, 27 (2)
doi: 10.1177/0278364907087548
Artikel, Bibliographie

Peters, J. ; Schaal, S. (2008)
Reinforcement learning of motor skills with policy gradients.
In: Neural Networks, 21 (4)
doi: 10.1016/j.neunet.2008.02.003
Artikel, Bibliographie

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)
doi: 10.1007/s10514-007-9051-x
Artikel, Bibliographie

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

Peters, Jan ; Schaal, Stefan
Hrsg.: Ishikawa, Masumi (2007)
Policy Learning for Motor Skills.
doi: 10.1007/978-3-540-69162-4_25
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. ; Schölkopf, B. (2007)
Towards Machine Learning of Motor Skills.
Proceedings of Autonome Mobile Systeme (AMS).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. (2007)
Reinforcement learning for Operational Space Control.
International Conference on Robotics and Automation (ICRA), pp.2111-22 2116.
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. (2007)
Reinforcement Learning by Reward-Weighted Regression for Operational Space Control.
Proceedings of the International Conference on Machine Learning (ICML).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Theodorou, E. ; Schaal, S. (2007)
Policy Gradient Methods for Machine Learning.
INFORMS Conference of the Applied Probability Society.
Konferenzveröffentlichung, Bibliographie

Peters, J. (2007)
Machine Learning of Motor Skills for Robotics.
Technische Universität Darmstadt
Dissertation, Bibliographie

Peters, J. (2007)
Computational Intelligence: Principles, Techniques and Applications.
In: The Computer Journal, 50 (6)
doi: 10.1093/comjnl/bxm073
Artikel, Bibliographie

Peters, J. ; Schaal, S. (2007)
Policy Learning for Motor Skills.
Proceedings of 14th International Conference on Neural Information Processing (ICONIP). Kitakyushu, Japan (13.11.2007-16.11.2007)
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. ; Schoelkopf, B. (2007)
Towards Machine Learning of Motor Skills.
Proceedings of Autonome Mobile Systeme (AMS). Kaiserslautern (18.10.2007-19.10.2007)
doi: 10.1007/978-3-540-74764-2_22
Konferenzveröffentlichung, Bibliographie

Peters, J. (2007)
Machine Learning of Motor Skills for Robotics.
Technische Universität Darmstadt
Dissertation, Bibliographie

Peters, J. ; Schaal, S. (2007)
Reinforcement learning for operational space control.
International Conference on Robotics and Automation (ICRA2007). Roma, Italy (10.04.2007-14.04.2007)
Konferenzveröffentlichung, Bibliographie

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 (01.04.2007-05.04.2007)
Konferenzveröffentlichung, Bibliographie

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 (23.04.2008-25.04.2008)
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. (2007)
Reinforcement learning by reward-weighted regression for operational space control.
Proceedings of the International Conference on Machine Learning (ICML2007). Corvallis, OR, USA (20.06.2007-24.06.2007)
doi: 10.1145/1273496.1273590
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Theodorou, E. ; Schaal, S. (2007)
Policy gradient methods for machine learning.
INFORMS Conference of the Applied Probability Society. Eindhoven, The Netherlands (09.07.2007-11.07.2007)
Konferenzveröffentlichung, Bibliographie

Peters, J. (2007)
Relative Entropy Policy Search.
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. (2006)
Learning Operational Space Control.
Robotics: Science and Systems (R:SS), Cambridge, MA: MIT Press.
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. (2006)
Reinforcement Learning for Parameterized Motor Primitives.
Proceedings of the 2006 International Joint Conference on Neural Networks (IJCNN).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. (2006)
Policy Gradient Methods for Robotics.
Proceedings of the IEEE International Conference on Intelligent Robotics Systems (IROS).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. (2006)
Learning operational space control.
Robotics: Science and Systems (RSS 2006). Philadelphia, Pennsylvania, USA (16.08.2006-19.08.2006)
doi: 10.15607/RSS.2006.II.033
Konferenzveröffentlichung, Bibliographie

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 (16.07.2006-21.07.2006)
doi: 10.1109/IJCNN.2006.246662
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. (2006)
Policy gradient methods for robotics.
Proceedings of the IEEE International Conference on Intelligent Robotics Systems (IROS 2006). Beijing, China (09.10.2006-15.10.2006)
Konferenzveröffentlichung, Bibliographie

Peters, Jan ; Schaal, Stefan (2006)
Policy gradient methods for robotics.
IEEE International Conference on Intelligent Robotics Systems (IROS 2006). Beijing, China (09.10.2006-15.10.2006)
doi: 10.1109/IROS.2006.282564
Konferenzveröffentlichung, Bibliographie

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.
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2005)
Natural Actor-Critic.
Proceedings of the 16th European Conference on Machine Learning (ECML 2005). Porto, Portugal (03.10.2005-07.10.2005)
Konferenzveröffentlichung, Bibliographie

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 (24.09.2005-28.09.2005)
Konferenzveröffentlichung, Bibliographie

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 (02.08.2005-06.08.2005)
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2005)
Natural Actor-Critic.
16th European Conference on Machine Learning. Porto, Portugal (03.10.2005-07.10.2005)
Konferenzveröffentlichung, Bibliographie

Peters, Jan ; Mistry, Michael ; Udwadia, Firdaus ; Schaal, Stefan (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 (24.09.2005-28.09.2005)
doi: 10.1115/DETC2005-85166
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Schaal, S. (2004)
Learning Motor Primitives with Reinforcement Learning.
AAAI Fall Symposium on Real-Life Reinforcement Learning.
Konferenzveröffentlichung, Bibliographie

Peters, Jan ; Schaal, Stefan (2004)
Learning Motor Primitives with Reinforcement Learning : Poster.
University of Southern California (15.05.2004-15.05.2004)
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2003)
Scaling Reinforcement Learning Paradigms for Motor Learning.
Proceedings of the 10th Joint Symposium on Neural Computation.
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2003)
Reinforcement Learning for Humanoid Robotics.
IEEE-RAS International Conference on Humanoid Robots (Humanoids).
Konferenzveröffentlichung, Bibliographie

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
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2003)
Reinforcement learning for humanoid robotics.
IEEE-RAS International Conference on Humanoid Robots (Humanoids 2003). Karlsruhe, Germany (29.09.2003-30.09.2003)
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Vijayakumar, S. ; Schaal, S. (2003)
Reinforcement learning for humanoid robotics.
IEEE-RAS International Conference on Humanoid Robots (Humanoids2003).
Konferenzveröffentlichung, Bibliographie

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).
Konferenzveröffentlichung, Bibliographie

Peters, J. ; Smagt, P. van der (2002)
Searching a Scalable Approach to Cerebellar Based Control.
In: Applied Intelligence, 17 (1)
doi: 10.1023/A:1015775631060
Artikel, Bibliographie