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Publikationen

Zeige Ergebnisse 25 bis 30 von 572
  1. Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Jan Peters; Kenji Doya

    Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning

    In: Neural Computation, Vol. 22, No. 2, Pages 342-376, MIT Press, 2010.

  2. Daan Wierstra; Alexander Förster; Jan Peters; Jürgen Schmidhuber

    Recurrent policy gradients

    In: Logic Journal of the IGPL Oxford, Vol. 18, No. 5, Pages 620-634, Oxford University Press, 2010.

  3. Renaud Detry; Emre Baseski; Mila Popovic; Younes Touati; Norbert Krüger; Oliver Kroemer; Jan Peters; Justus H. Piater

    Learning Continuous Grasp Affordances by Sensorimotor Exploration

    In: Olivier Sigaud; Jan Peters (Hrsg.). From Motor Learning to Interaction Learning in Robots. Pages 451-465, Studies in Computational Intelligence, …

  4. Jens Kober; Betty J. Mohler; Jan Peters

    Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling

    In: Olivier Sigaud; Jan Peters (Hrsg.). From Motor Learning to Interaction Learning in Robots. Pages 209-225, Studies in Computational Intelligence, …

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

    Real-Time Local GP Model Learning

    In: Olivier Sigaud; Jan Peters (Hrsg.). From Motor Learning to Interaction Learning in Robots. Pages 193-207, Studies in Computational Intelligence, …

  6. Olivier Sigaud; Jan Peters

    From Motor Learning to Interaction Learning in Robots

    In: Olivier Sigaud; Jan Peters (Hrsg.). From Motor Learning to Interaction Learning in Robots. Pages 1-12, Studies in Computational Intelligence, Vol. …