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Jahr: 2021
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  1. Carlo D'Eramo; Andrea Cini; Alessandro Nuara; Matteo Pirotta; Cesare Alippi; Jan Peters; Marcello Restelli

    Gaussian Approximation for Bias Reduction in Q-Learning

    In: Journal of Machine Learning Research, Vol. 22, Pages 277:1-277:51, JMLR, 2021.

  2. Carlo D'Eramo; Davide Tateo; Andrea Bonarini; Marcello Restelli; Jan Peters

    MushroomRL: Simplifying Reinforcement Learning Research

    In: Journal of Machine Learning Research, Vol. 22, Pages 131:1-131:5, JMLR, 2021.

  3. Niyati Rawal; Dorothea Koert; Cigdem Turan; Kristian Kersting; Jan Peters; Ruth Stock-Homburg

    ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition

    In: Frontiers in Robotics and AI, Vol. 8, Pages 0-10, Frontiers, 2021.

  4. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, Pages 27-36, eCAADe, 2021.

  5. Hany Abdulsamad; Tim Dorau; Boris Belousov; Jia-Jie Zhu; Jan Peters

    Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative Entropy Trust-Regions

    arXiv preprint arXiv:2103.15388, 2021.

  6. Boris Belousov; Hany Abdulsamad; Pascal Klink; Simone Parisi; Jan Peters

    Reinforcement learning algorithms: analysis and applications

    Springer, 2021.

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

    Robust Value Iteration for Continuous Control Tasks

    In: Dylan A. Shell; Marc Toussaint; M. Ani Hsieh (Hrsg.). Robotics: Science and Systems XVII. Robotics: Science and Systems (RSS-2021), July 12-16, Virtual Event, Robotics Science and Systems, Online Proceedings, 2021.

  8. 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.

  9. Hany Abdulsamad; Jan Peters

    Model-Based Reinforcement Learning for Stochastic Hybrid Systems

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2111.06211, Pages 0-10, arXiv, 2021.

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

    A Differentiable Newton-Euler Algorithm for Real-World Robotics

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12422, Pages 0-10, arXiv, 2021.

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