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Publikationen

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  1. Jan Peters; Russ Tedrake; Nick Roy; Jun Morimoto

    Robot Learning

    In: Claude Sammut; Geoffrey I. Webb (Hrsg.). Encyclopedia of Machine Learning and Data Mining. Pages 1106-1109, Springer, 2017.

  2. Jan Peters; J. Andrew Bagnell

    Policy Gradient Methods

    In: Claude Sammut; Geoffrey I. Webb (Hrsg.). Encyclopedia of Machine Learning and Data Mining. Pages 982-985, Springer, 2017.

  3. Karl-Heinz Fiebig; Vinay Jayaram; Thomas Hesse; Alexander Blank; Jan Peters; Moritz Grosse-Wentrup

    Bayesian Regression for Artifact correction in Electroencephalography

    In: Gernot R. Müller-Putz; David Steyrl; Selina C. Wriessnegger; Reinhold Scherer (Hrsg.). From Vision to Reality - Proceedings of the 7th Graz …

  4. Vincent Padois; Serena Ivaldi; Jan Babic; Michael N. Mistry; Jan Peters; Francesco Nori

    Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project

    In: Robotics and Autonomous Systems (RAS), Vol. 90, Pages 97-117, Elsevier, 2017.

  5. Simone Parisi; Matteo Pirotta; Jan Peters

    Manifold-based multi-objective policy search with sample reuse

    In: Neurocomputing, Vol. 263, Pages 3-14, Elsevier, 2017.

  6. Andras Gabor Kupcsik; Marc Peter Deisenroth; Jan Peters; Ai Poh Loh; Prahlad Vadakkepat; Gerhard Neumann

    Model-based contextual policy search for data-efficient generalization of robot skills

    In: Artificial Intelligence (AIJ), Vol. 247, Pages 415-439, Elsevier, 2017.