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Publications

Displaying results 21 to 30 of 5638.
  1. Jun Nakanishi; Rick Cory; Michael N. Mistry; Jan Peters; Stefan Schaal

    Comparative experiments on task space control with redundancy resolution

    In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  2. Jan Peters; Stefan Schaal

    Reinforcement Learning for Operational Space Control

    In: 2007 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2007), April 10-14, …

  3. Jan Peters; Stefan Schaal

    Reinforcement learning by reward-weighted regression for operational space control

    In: Zoubin Ghahramani (Hrsg.). Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007). International Conference on …

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

    Local Gaussian Process Regression for Real Time Online Model Learning

    In: Daphne Koller; Dale Schuurmans; Yoshua Bengio; Léon Bottou (Hrsg.). Advances in Neural Information Processing Systems 21, Proceedings of the …

  5. Silvia Chiappa; Jens Kober; Jan Peters

    Using Bayesian Dynamical Systems for Motion Template Libraries

    In: Daphne Koller; Dale Schuurmans; Yoshua Bengio; Léon Bottou (Hrsg.). Advances in Neural Information Processing Systems 21, Proceedings of the …

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

    Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation

    In: Dieter Fox; Carla P. Gomes (Hrsg.). Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial …

  7. Jan Peters; Stefan Schaal

    Reinforcement learning of motor skills with policy gradients

    In: Neural Networks, Vol. 21, No. 4, Pages 682-697, Elsevier, 2008.

  8. Jan Peters; Stefan Schaal

    Natural Actor-Critic

    In: Neurocomputing, Vol. 71, No. 7-9, Pages 1180-1190, Elsevier, 2008.

  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. …

  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.