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Publications

Displaying results 1921 to 1930 of 13872.

  1. Jan Peters; Justus H. Piater; Robert Platt Jr.; Siddhartha S. Srinivasa

    Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411)

    In: Dagstuhl Reports, Vol. 5, No. 10, Pages 1-18, Dagstuhl, 2015.

  2. Filipe Veiga; Herke van Hoof; Jan Peters; Tucker Hermans

    Stabilizing novel objects by learning to predict tactile slip

    In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2015), September 28 - October 2, Hamburg, Germany, Pages 5065-5072, IEEE, 2015.

  3. Simon Manschitz; Jens Kober; Michael Gienger; Jan Peters

    Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations

    In: Robotics and Autonomous Systems (RAS), Vol. 74, Pages 97-107, Elsevier, 2015.

  4. Jan Peters; Daniel D. Lee; Jens Kober; Duy Nguyen-Tuong; J. Andrew Bagnell; Stefan Schaal

    Robot Learning

    In: Bruno Siciliano; Oussama Khatib (Hrsg.). Springer Handbook of Robotics. Pages 357-398, Springer Handbooks, Springer, 2016.

  5. Christian Daniel; Gerhard Neumann; Oliver Kroemer; Jan Peters

    Hierarchical Relative Entropy Policy Search

    In: Journal of Machine Learning Research, Vol. 17, Pages 93:1-93:50, JMLR, 2016.

  6. Matthew Hoffman; Nando de Freitas; Arnaud Doucet; Jan Peters

    An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward

    In: David A. Van Dyk; Max Welling (Hrsg.). Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2009), April 16-18, Clearwater Beach, Florida, USA, Pages 232-239, JMLR Proceedings, Vol. 5, JMLR.org, 2009.

  7. Jan Peters; Jun Morimoto; Russ Tedrake; Nicholas Roy

    Robot learning [TC Spotlight]

    In: IEEE Robotics & Automation Magazine, Vol. 16, No. 3, Pages 19-20, IEEE, 2009.

  8. Hirotaka Hachiya; Takayuki Akiyama; Masashi Sugiyama; Jan Peters

    Adaptive importance sampling for value function approximation in off-policy reinforcement learning

    In: Neural Networks, Vol. 22, No. 10, Pages 1399-1410, Elsevier, 2009.

  9. Marc Peter Deisenroth; Carl Edward Rasmussen; Jan Peters

    Gaussian process dynamic programming

    In: Neurocomputing, Vol. 72, No. 7-9, Pages 1508-1524, Elsevier, 2009.

  10. Vincent Padois; Serena Ivaldi; Jan Babic; Michael N. Mistry; Jan Peters; Francesco Nori

    Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project

    In: Robotics and Autonomous Systems (RAS), Vol. 90, Pages 97-117, Elsevier, 2017.

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