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Publications

Displaying results 2501 to 2510 of 14418.

  1. 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.

  2. 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.

  3. Marco Ewerton; Oleg Arenz; Guilherme Maeda; Dorothea Koert; Zlatko Kolev; Masaki Takahashi; Jan Peters

    Learning Trajectory Distributions for Assisted Teleoperation and Path Planning

    In: Frontiers in Robotics and AI, Vol. 6, Pages 0-10, Frontiers, 2019.

  4. Tim Schürmann; Betty J. Mohler; Jan Peters; Philipp Beckerle

    How Cognitive Models of Human Body Experience Might Push Robotics

    In: Frontiers in Neurorobotics, Vol. 13, Pages 0-10, Frontiers, 2019.

  5. Julen Urain; Davide Tateo; Tianyu Ren; Jan Peters

    Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.06224, Pages 0-10, arXiv, 2020.

  6. Sebastian Höfer; Kostas E. Bekris; Ankur Handa; Juan Camilo Gamboa Higuera; Florian Golemo; Melissa Mozifian; Christopher G. Atkeson; Dieter Fox; Ken Goldberg; John Leonard; C. Karen Liu; Jan Peters; Shuran Song; Peter Welinder; Martha White

    Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.03806, Pages 0-10, arXiv, 2020.

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

    A Differentiable Newton Euler Algorithm for Multi-body Model Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2010.09802, Pages 0-10, arXiv, 2020.

  8. Riad Akrour; Dmitry Sorokin; Jan Peters; Gerhard Neumann

    Local Bayesian Optimization of Motor Skills

    In: Doina Precup; Yee Whye Teh (Hrsg.). Proceedings of the 34th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2017), August 6-11, Sydney, NSW, Australia, Pages 41-50, Proceedings of Machine Learning Research, Vol. 70, PMLR, 2017.

  9. Elmar Rueckert; Moritz Nakatenus; Samuele Tosatto; Jan Peters

    Learning inverse dynamics models in O(n) time with LSTM networks

    In: 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2017), November 15-17, Birmingham, United Kingdom, Pages 811-816, IEEE, 2017.

  10. Svenja Stark; Jan Peters; Elmar Rueckert

    A comparison of distance measures for learning nonparametric motor skill libraries

    In: 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2017), November 15-17, Birmingham, United Kingdom, Pages 624-630, IEEE, 2017.

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