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Publikationen

Zeige Ergebnisse 41 bis 50 von 533.
  1. 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. International Conference on Machine Learning (ICML-2009), June 14-18, Montreal, Quebec, Canada, Pages 753-760, ACM International Conference Proceeding Series, Vol. 382, ACM, 2009.

  2. 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 Association for Pattern Recognition (DAGM-2009), September 9-11, Jena, Germany, Pages 221-231, Lecture Notes in Computer Science, Vol. 5748, Springer, 2009.

  3. 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. Fachgespräch. Autonome Mobile Systeme (AMS-2009), December 3-4, Karlsruhe, Germany, Pages 105-112, Informatik Aktuell, Springer, 2009.

  4. 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. Fachgespräch. Autonome Mobile Systeme (AMS-2009), December 3-4, Karlsruhe, Germany, Pages 57-64, Informatik Aktuell, Springer, 2009.

  5. Jan Peters; Jens Kober

    Using reward-weighted imitation for robot Reinforcement Learning

    In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009) Proceedings. IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning (ADPRL-2009), March 30 - April 2, Nashville, TN, USA, Pages 226-232, IEEE Symposium Series on Computational Intelligence, ISBN 978-1-4244-2761-1, IEEE, 2009.

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

    Efficient data reuse in value function approximation

    In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009) Proceedings. IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning (ADPRL-2009), March 30 - April 2, Nashville, TN, USA, Pages 8-15, IEEE Symposium Series on Computational Intelligence, ISBN 978-1-4244-2761-1, IEEE, 2009.

  7. Jan Peters; Andrew Y. Ng

    Guest editorial: Special issue on robot learning, Part B

    In: Autonomous Robots, Vol. 27, No. 2, Pages 91-92, Springer, 2009.

  8. Jan Peters; Andrew Y. Ng

    Guest editorial: Special issue on robot learning, Part A

    In: Autonomous Robots, Vol. 27, No. 1, Pages 1-2, Springer, 2009.

  9. 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.

  10. 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.