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Publikationen

Zeige Ergebnisse 41 bis 50 von 55
  1. Oliver Kroemer; Renaud Detry; Justus H. Piater; Jan Peters

    Active learning using mean shift optimization for robot grasping

    In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  2. Jens Kober; Jan Peters

    Learning motor primitives for robotics

    In: 2009 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2009), May 12-17, …

  3. Gerhard Neumann; Wolfgang Maass; Jan Peters

    Learning complex motions by sequencing simpler motion templates

    In: Andrea Pohoreckyj Danyluk; Léon Bottou; Michael L. Littman (Hrsg.). Proceedings of the 26th Annual International Conference on Machine Learning. …

  4. Christoph H. Lampert; Jan Peters

    Active Structured Learning for High-Speed Object Detection

    In: Joachim Denzler; Gunther Notni; Herbert Süße (Hrsg.). Pattern Recognition, 31st DAGM Symposium, Proceedings. Annual Symposium of the German …

  5. Jens Kober; Jan Peters

    Learning New Basic Movements for Robotics

    In: Rüdiger Dillmann; Jürgen Beyerer; Christoph Stiller; Johann Marius Zöllner; Tobias Gindele (Hrsg.). Autonome Mobile Systeme 2009 - 21. …

  6. Katharina Mülling; Jan Peters

    A Computational Model of Human Table Tennis for Robot Application

    In: Rüdiger Dillmann; Jürgen Beyerer; Christoph Stiller; Johann Marius Zöllner; Tobias Gindele (Hrsg.). Autonome Mobile Systeme 2009 - 21. …

  7. 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. …

  8. 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.

  9. 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.

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

    Gaussian process dynamic programming

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