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Publications

Displaying results 1581 to 1590 of 5313.

  1. Simone Parisi; Voot Tangkaratt; Jan Peters; Mohammad Emtiyaz Khan

    TD-regularized actor-critic methods

    In: Machine Learning, Vol. 108, No. 8-9, Pages 1467-1501, Springer, 2019.

  2. Joni Pajarinen; Hong Linh Thai; Riad Akrour; Jan Peters; Gerhard Neumann

    Compatible natural gradient policy search

    In: Machine Learning, Vol. 108, No. 8-9, Pages 1443-1466, Springer, 2019.

  3. Carlos Celemin; Guilherme Maeda; Javier Ruiz-del-Solar; Jan Peters; Jens Kober

    Reinforcement learning of motor skills using Policy Search and human corrective advice

    In: International Journal of Robotics Research (IJRR), Vol. 38, No. 14, Pages 0-10, Sage Publications, 2019.

  4. Okan Koc; Jan Peters

    Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 2, Pages 1784-1791, IEEE, 2019.

  5. 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.

  6. 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.

  7. Stefan Bauer; Felix Widmaier; Manuel Wüthrich; Niklas Funk; Julen Urain De Jesus; Jan Peters; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang; Matthew R. Walter; Rishabh Madan; Charles B. Schaff; Takahiro Maeda; Takuma Yoneda; Denis Yarats; Arthur Allshire; Ethan K. Gordon; Tapomayukh Bhattacharjee; Siddhartha S. Srinivasa; Animesh Garg; Annika Buchholz; Sebastian Stark; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vaibhav Agrawal; Bernhard Schölkopf

    A Robot Cluster for Reproducible Research in Dexterous Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2109.10957, Pages 0-10, arXiv, 2021.

  8. Antoine Grosnit; Rasul Tutunov; Alexandre Max Maraval; Ryan-Rhys Griffiths; Alexander I. Cowen-Rivers; Lin Yang; Lin Zhu; Wenlong Lyu; Zhitang Chen; Jun Wang; Jan Peters; Haitham Bou-Ammar

    High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2106.03609, Pages 0-10, arXiv, 2021.

  9. Daniel Tanneberg; Elmar Rueckert; Jan Peters

    Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.07957, Pages 0-10, arXiv, 2021.

  10. Julen Urain; Michele Ginesi; Davide Tateo; Jan Peters

    ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 5231-5237, IEEE, 2020.

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