ei Akrour, R., Veiga, F., Peters, J., Neuman, G. Regularizing Reinforcement Learning with State Abstraction Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2018 (conference) Accepted

link (url) [BibTex]

ei Gondaliya, K., Peters, J., Rueckert, E. Learning to Categorize Bug Reports with LSTM Networks Proceedings of the 10th International Conference on Advances in System Testing and Validation Lifecycle (VALID), pages: 7-12, October 2018 (conference)

link (url) [BibTex]

ei Muratore, F., Treede, F., Gienger, M., Peters, J. Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment 2nd Annual Conference on Robot Learning (CoRL), 87, pages: 700-713, Proceedings of Machine Learning Research, PMLR, October 2018 (conference)

link (url) [BibTex]

ei Büchler, D., Calandra, R., Schölkopf, B., Peters, J. Control of Musculoskeletal Systems using Learned Dynamics Models IEEE Robotics and Automation Letters, Robotics and Automation Letters, 3(4):3161-3168, IEEE, 2018 (article)

RAL18final link (url) DOI [BibTex]

ei Akrour, R., Peters, J., Neuman, G. Constraint-Space Projection Direct Policy Search 14th European Workshop on Reinforcement Learning (EWRL), October 2018 (conference)

link (url) [BibTex]

ei Parmas, P., Rasmussen, C., Peters, J., Doya, K. PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 4065-4074, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) [BibTex]

ei Lioutikov, R., Maeda, G., Veiga, F., Kersting, K., Peters, J. Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives IEEE International Conference on Robotics and Automation, (ICRA), pages: 1-8, IEEE, May 2018 (conference)

DOI [BibTex]

ei Ewerton, M., Rother, D., Weimar, J., Kollegger, G., Wiemeyer, J., Peters, J., Maeda, G. Assisting Movement Training and Execution With Visual and Haptic Feedback Frontiers in Neurorobotics, 12, May 2018 (article)

DOI [BibTex]

ei Koert, D., Maeda, G., Neumann, G., Peters, J. Learning Coupled Forward-Inverse Models with Combined Prediction Errors IEEE International Conference on Robotics and Automation, (ICRA), pages: 2433-2439, IEEE, May 2018 (conference)

DOI [BibTex]

ei Pinsler, R., Akrour, R., Osa, T., Peters, J., Neumann, G. Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences IEEE International Conference on Robotics and Automation, (ICRA), pages: 596-601, IEEE, May 2018 (conference)

DOI [BibTex]

ei Manschitz, S., Gienger, M., Kober, J., Peters, J. Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations IEEE Robotics and Automation Letters, 3(2):926-933, April 2018 (article)

DOI [BibTex]

ei Paraschos, A., Rueckert, E., Peters, J., Neumann, G. Probabilistic movement primitives under unknown system dynamics Advanced Robotics, 32(6):297-310, April 2018 (article)

DOI [BibTex]

ei Osa, T., Pajarinen, J., Neumann, G., Bagnell, J., Abbeel, P., Peters, J. An Algorithmic Perspective on Imitation Learning Foundations and Trends in Robotics, 7(1-2):1-179, March 2018 (article)

DOI [BibTex]

ei Paraschos, A., Daniel, C., Peters, J., Neumann, G. Using Probabilistic Movement Primitives in Robotics Autonomous Robots, 42(3):529-551, March 2018 (article)

DOI [BibTex]

ei Kroemer, O., Leischnig, S., Luettgen, S., Peters, J. A kernel-based approach to learning contact distributions for robot manipulation tasks Autonomous Robots, 42(3):581-600, March 2018 (article)

DOI [BibTex]

ei Vinogradska, J., Bischoff, B., Peters, J. Approximate Value Iteration Based on Numerical Quadrature IEEE Robotics and Automation Letters, 3(2):1330-1337, January 2018 (article)

DOI [BibTex]

ei Yi, Z., Zhang, Y., Peters, J. Biomimetic Tactile Sensors and Signal Processing with Spike Trains: A Review Sensors and Actuators A: Physical, 269, pages: 41-52, January 2018 (article)

DOI [BibTex]

ei Tanneberg, D., Peters, J., Rueckert, E. Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks Neural Networks, 109, pages: 67-80, 2018 (article)

link (url) DOI [BibTex]

ei Gomez-Gonzalez, S., Neumann, G., Schölkopf, B., Peters, J. Adaptation and Robust Learning of Probabilistic Movement Primitives IEEE Transactions on Robotics, 2018 (article) In revision

arXiv [BibTex]

ev Vinogradska, J., Bischoff, B., Achterhold, J., Koller, T., Peters, J. Numerical Quadrature for Probabilistic Policy Search IEEE Transactions on Pattern Analysis and Machine Intelligence, pages: 1-1, 2018 (article)

DOI [BibTex]

ei Koc, O., Maeda, G., Peters, J. Online optimal trajectory generation for robot table tennis Robotics and Autonomous Systems, 105, pages: 121-137, 2018 (article)

PDF link (url) DOI [BibTex]

ei Osa, T., Peters, J., Neumann, G. Hierarchical Reinforcement Learning of Multiple Grasping Strategies with Human Instructions Advanced Robotics, 32(18):955-968, 2018 (article)

DOI [BibTex]

ei Šošić, A., Rueckert, E., Peters, J., Zoubir, A., Koeppl, H. Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling Journal of Machine Learning Research, 19(69):1-45, 2018 (article)

link (url) [BibTex]

ei Veiga, F., Peters, J., Hermans, T. Grip Stabilization of Novel Objects using Slip Prediction IEEE Transactions on Haptics, 2018 (article) In press

DOI [BibTex]

ei Belousov, B., Peters, J. f-Divergence constrained policy improvement Journal of Machine Learning Research, 2018 (article) Submitted

[BibTex]

ei Koc, O., Maeda, G., Peters, J. Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control IEEE Transactions on Robotics, 2018 (article) Submitted

arXiv [BibTex]

ei Veiga, F. F., B.B, E., Peters, J. In-Hand Object Stabilization by Independent Finger Control IEEE Transactions on Robotics, 2018 (article) Submitted

[BibTex]

ei Jayaram, V., Fiebig, K., Peters, J., Grosse-Wentrup, M. Transfer Learning for BCIs In Brain–Computer Interfaces Handbook, pages: 425-442, 22, (Editors: Chang S. Nam, Anton Nijholt and Fabien Lotte), CRC Press, 2018 (incollection)

[BibTex]

ei Koc, O., Peters, J. Learning to serve: an experimental study for a new learning from demonstrations framework IEEE Robotics and Automation Letters (ICRA/RA-L), 2018 (article) Accepted

[BibTex]

ei Tanneberg, D., Peters, J., Rueckert, E. Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Proceedings of the 1st Annual Conference on Robot Learning (CoRL), pages: 167-174, Proceedings of Machine Learning Research, (Editors: Sergey Levine, Vincent Vanhoucke and Ken Goldberg), PMLR, November 2017 (conference)

link (url) [BibTex]

ei Tanneberg, D., Peters, J., Rueckert, E. Efficient Online Adaptation with Stochastic Recurrent Neural Networks IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pages: 198-204, IEEE, November 2017 (conference)

DOI [BibTex]

ei Rueckert, E., Nakatenus, M., Tosatto, S., Peters, J. Learning inverse dynamics models in O(n) time with LSTM networks IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pages: 811-816, IEEE, November 2017 (conference)

DOI [BibTex]

ei Stark, S., Peters, J., Rueckert, E. A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pages: 624-630, IEEE, November 2017 (conference)

DOI [BibTex]

ei Thiem, S., Stark, S., Tanneberg, D., Peters, J., Rueckert, E. Simulation of the underactuated Sake Robotics Gripper in V-REP Workshop at the International Conference on Humanoid Robots (HUMANOIDS), November 2017 (conference)

link (url) [BibTex]

ei Maeda, G., Ewerton, M., Osa, T., Busch, B., Peters, J. Active Incremental Learning of Robot Movement Primitives Proceedings of the 1st Annual Conference on Robot Learning (CoRL), 78, pages: 37-46, Proceedings of Machine Learning Research, (Editors: Sergey Levine, Vincent Vanhoucke and Ken Goldberg), PMLR, November 2017 (conference)

link (url) [BibTex]

ei van Hoof, H., Tanneberg, D., Peters, J. Generalized exploration in policy search Machine Learning, 106(9-10):1705-1724 , (Editors: Kurt Driessens, Dragi Kocev, Marko Robnik‐Sikonja, and Myra Spiliopoulou), October 2017, Special Issue of the ECML PKDD 2017 Journal Track (article)

DOI [BibTex]

ei Paraschos, A., Lioutikov, R., Peters, J., Neumann, G. Probabilistic Prioritization of Movement Primitives Proceedings of the International Conference on Intelligent Robot Systems, and IEEE Robotics and Automation Letters (RA-L), 2(4):2294-2301, October 2017 (article)

link (url) DOI [BibTex]

am ei Fiebig, K., Jayaram, V., Hesse, T., Blank, A., Peters, J., Grosse-Wentrup, M. Bayesian Regression for Artifact Correction in Electroencephalography Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 131-136, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)

DOI [BibTex]

am ei Grossberger, L., Hohmann, M. R., Peters, J., Grosse-Wentrup, M. Investigating Music Imagery as a Cognitive Paradigm for Low-Cost Brain-Computer Interfaces Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 160-164, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)

DOI [BibTex]

ei Ewerton, M., Maeda, G., Rother, D., Weimar, J., Lotter, L., Kollegger, G., Wiemeyer, J., Peters, J. Assisting the practice of motor skills by humans with a probability distribution over trajectories In Workshop Human-in-the-loop robotic manipulation: on the influence of the human role at IROS, September 2017 (inproceedings)

link (url) [BibTex]

ei Kollegger, G., Ewerton, M., Wiemeyer, J., Peters, J. BIMROB – Bidirectional Interaction Between Human and Robot for the Learning of Movements Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS), (663):151-163, Advances in Intelligent Systems and Computing, (Editors: Lames M., Saupe D. and Wiemeyer J.), Springer International Publishing, September 2017 (conference)

DOI [BibTex]

ei Parisi, S., Ramstedt, S., Peters, J. Goal-driven dimensionality reduction for reinforcement learning IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages: 4634-4639, IEEE, September 2017 (conference)

DOI [BibTex]

ei Pajarinen, J., Kyrki, V., Koval, M., Srinivasa, S., Peters, J., Neumann, G. Hybrid control trajectory optimization under uncertainty IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages: 5694-5701, September 2017 (conference)

DOI [BibTex]

am ei Akrour, R., Sorokin, D., Peters, J., Neumann, G. Local Bayesian Optimization of Motor Skills Proceedings of the 34th International Conference on Machine Learning, 70, pages: 41-50, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)

link (url) [BibTex]

ei Lioutikov, R., Neumann, G., Maeda, G., Peters, J. Learning Movement Primitive Libraries through Probabilistic Segmentation International Journal of Robotics Research, 36(8):879-894, July 2017 (article)

DOI [BibTex]

ei Abdulsamad, H., Arenz, O., Peters, J., Neumann, G. State-Regularized Policy Search for Linearized Dynamical Systems Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, (ICAPS), pages: 419-424, (Editors: Laura Barbulescu, Jeremy Frank, Mausam and Stephen F. Smith), AAAI Press, June 2017 (conference)

link (url) [BibTex]

ei Wilbers, D., Lioutikov, R., Peters, J. Context-Driven Movement Primitive Adaptation IEEE International Conference on Robotics and Automation (ICRA), pages: 3469-3475, IEEE, May 2017 (conference)

DOI [BibTex]

ei Farraj, F. B., Osa, T., Pedemonte, N., Peters, J., Neumann, G., Giordano, P. A Learning-based Shared Control Architecture for Interactive Task Execution IEEE International Conference on Robotics and Automation (ICRA), pages: 329-335, IEEE, May 2017 (conference)

DOI [BibTex]

ei Gabriel, A., Akrour, R., Peters, J., Neumann, G. Empowered skills IEEE International Conference on Robotics and Automation (ICRA), pages: 6435-6441, IEEE, May 2017 (conference)

DOI [BibTex]

ei End, F., Akrour, R., Peters, J., Neumann, G. Layered direct policy search for learning hierarchical skills IEEE International Conference on Robotics and Automation (ICRA), pages: 6442-6448, IEEE, May 2017 (conference)

DOI [BibTex]