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Jahr: 2009
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  1. Michael Beetz; Oliver Brock; Gordon Cheng; Jan Peters

    09341 Summary - Cognition, Control and Learning for Robot Manipulation in Human Environments

    In: Michael Beetz; Oliver Brock; Gordon Cheng; Jan Peters (Hrsg.). 09341 Abstracts Collection - Cognition, Control and Learning for Robot Manipulation in Human Environments. Cognition, Control and Learning for Robot Manipulation in Human Environments, August 16-21, Schloss Dagstuhl, Germany, Dagstuhl Seminar Proceedings, Vol. 09341, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, 2009.

  2. Michael Beetz; Oliver Brock; Gordon Cheng; Jan Peters (Hrsg.)

    09341 Abstracts Collection - Cognition, Control and Learning for Robot Manipulation in Human Environments

    Cognition, Control and Learning for Robot Manipulation in Human Environments, August 16-21, Schloss Dagstuhl, Germany, Dagstuhl Seminar Proceedings, Vol. 09341, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, 2009.

  3. 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.

  4. 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.

  5. 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.

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

    Gaussian process dynamic programming

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

  7. Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters

    Model Learning with Local Gaussian Process Regression

    In: Advanced Robotics, Vol. 23, No. 15, Pages 2015-2034, Taylor & Francis Online, 2009.

  8. Hirotaka Hachiya; Jan Peters; Masashi Sugiyama

    Efficient Sample Reuse in EM-Based Policy Search

    In: Wray L. Buntine; Marko Grobelnik; Dunja Mladenic; John Shawe-Taylor (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Proceedings, Part I. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2009), September 7-11, Bled, Slovenia, Pages 469-484, Lecture Notes in Artifical Intelligence (LNAI), Vol. 5781, Springer, 2009.

  9. Jan Peters; Katharina Mülling; Jens Kober; Duy Nguyen-Tuong; Oliver Krömer

    Towards Motor Skill Learning for Robotics

    In: Cédric Pradalier; Roland Siegwart; Gerhard Hirzinger (Hrsg.). Robotics Research - The 14th International Symposium ISRR. International Symposium of Robotics Research (ISRR-2009), August 31 - September 3, Lucerne, Switzerland, Pages 469-482, Springer Tracts in Advanced Robotics (STAR), Vol. 70, Springer, 2009.

  10. Justus H. Piater; Sébastien Jodogne; Renaud Detry; Dirk Kraft; Norbert Krüger; Oliver Krömer; Jan Peters

    Learning Visual Representations for Interactive Systems

    In: Cédric Pradalier; Roland Siegwart; Gerhard Hirzinger (Hrsg.). Robotics Research - The 14th International Symposium ISRR. International Symposium of Robotics Research (ISRR-2009), August 31 - September 3, Lucerne, Switzerland, Pages 399-416, Springer Tracts in Advanced Robotics (STAR), Vol. 70, Springer, 2009.

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