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Publications

Displaying results 1931 to 1940 of 13872.

  1. Simone Parisi; Matteo Pirotta; Jan Peters

    Manifold-based multi-objective policy search with sample reuse

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

  2. 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.

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

    Model Learning with Local Gaussian Process Regression

    In: Advanced Robotics, Vol. 23, No. 15, Pages 2015-2034, Taylor & Francis Online, 2009.

  4. Oliver Kroemer; Renaud Detry; Justus H. Piater; Jan Peters

    Combining active learning and reactive control for robot grasping

    In: Robotics and Autonomous Systems (RAS), Vol. 58, No. 9, Pages 1105-1116, Elsevier, 2010.

  5. Jens Kober; Jan Peters

    Imitation and Reinforcement Learning

    In: IEEE Robotics & Automation Magazine, Vol. 17, No. 2, Pages 55-62, IEEE, 2010.

  6. Frank Sehnke; Christian Osendorfer; Thomas Rückstieß; Alex Graves; Jan Peters; Jürgen Schmidhuber

    Parameter-exploring policy gradients

    In: Neural Networks, Vol. 23, No. 4, Pages 551-559, Elsevier, 2010.

  7. Zhikun Wang; Abdeslam Boularias; Katharina Mülling; Bernhard Schölkopf; Jan Peters

    Anticipatory action selection for human-robot table tennis

    In: Artificial Intelligence (AIJ), Vol. 247, Pages 399-414, Elsevier, 2017.

  8. Okan Koc; Guilherme Maeda; Jan Peters

    Online optimal trajectory generation for robot table tennis

    In: Robotics and Autonomous Systems (RAS), Vol. 105, Pages 121-137, Elsevier, 2018.

  9. Filipe Veiga; Benoni B. Edin; Jan Peters

    Grip Stabilization through Independent Finger Tactile Feedback Control

    In: Sensors - Open Access Journal (Sensors), Vol. 20, No. 6, Pages 0-10, MDPI, 2020.

  10. 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 Intelligence (AAAI-2008), July 13-17, Chicago, Illinois, USA, Pages 1351-1356, AAAI Press, 2008.

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