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Publikationen

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  1. Stefan Bauer; Manuel Wüthrich; Felix Widmaier; Annika Buchholz; Sebastian Stark; Anirudh Goyal; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vincent Berenz; Vaibhav Agrawal; Niklas Funk; Julen Urain De Jesus; Jan Peters; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang; Matthew R. Walter; Rishabh Madan; Takuma Yoneda; Denis Yarats; Arthur Allshire; Ethan K. Gordon; Tapomayukh Bhattacharjee; Siddhartha S. Srinivasa; Animesh Garg; Takahiro Maeda; Harshit Sikchi; Jilong Wang; Qingfeng Yao; Shuyu Yang; Robert McCarthy; Francisco Roldan Sanchez; Qiang Wang; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Stephen J. Redmond; Bernhard Schölkopf

    Real Robot Challenge: A Robotics Competition in the Cloud

    In: Douwe Kiela; Marco Ciccone; Barbara Caputo (Hrsg.). NeurIPS 2021 Competitions and Demonstrations Track. Neural Information Processing Systems (NeurIPS-2021), December 6-14, Pages 190-204, Proceedings of Machine Learning Research, Vol. 176, PMLR, 2021.

  2. Puze Liu; Davide Tateo; Haitham Bou-Ammar; Jan Peters

    Efficient and Reactive Planning for High Speed Robot Air Hockey

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2021), September 27 - October 1, Prague, Czech Republic, Pages 586-593, IEEE, 2021.

  3. Jo~ao Carvalho; Davide Tateo; Fabio Muratore; Jan Peters

    An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2021), July 18-22, Shenzhen, China, Pages 1-10, IEEE, 2021.

  4. Samuele Tosatto; Georgia Chalvatzaki; Jan Peters

    Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, Xi'an, China, Pages 10815-10821, IEEE, 2021.

  5. Andrew S. Morgan; Daljeet Nandha; Georgia Chalvatzaki; Carlo D'Eramo; Aaron M. Dollar; Jan Peters

    Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, Xi'an, China, Pages 6672-6678, IEEE, 2021.

  6. Hany Abdulsamad; Peter Nickl; Pascal Klink; Jan Peters

    A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, Xi'an, China, Pages 4216-4222, IEEE, 2021.

  7. Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters

    Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, Xi'an, China, Pages 4163-4170, IEEE, 2021.

  8. Vignesh Prasad; Ruth Stock-Homburg; Jan Peters

    Learning Human-like Hand Reaching for Human-Robot Handshaking

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, Xi'an, China, Pages 3612-3618, IEEE, 2021.

  9. Qin Li; Georgia Chalvatzaki; Jan Peters; Yong Wang

    Directed Acyclic Graph Neural Network for Human Motion Prediction

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, Xi'an, China, Pages 3197-3204, IEEE, 2021.

  10. Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg

    Value Iteration in Continuous Actions, States and Time

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2021), July 18-24, Pages 7224-7234, Proceedings of Machine Learning Research, Vol. 139, PMLR, 2021.

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