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Publications

Displaying results 2011 to 2020 of 14520.

  1. Riad Akrour; Abbas Abdolmaleki; Hany Abdulsamad; Jan Peters; Gerhard Neumann

    Model-Free Trajectory-based Policy Optimization with Monotonic Improvement

    In: Journal of Machine Learning Research, Vol. 19, Pages 14:1-14:25, JMLR, 2018.

  2. Takayuki Osa; Joni Pajarinen; Gerhard Neumann; J. Andrew Bagnell; Pieter Abbeel; Jan Peters

    An Algorithmic Perspective on Imitation Learning

    In: Foundations and Trends in Robotics, Vol. 7, No. 1-2, Pages 1-179, Now Publishers, 3/2018.

  3. Marco Ewerton; David Rother; Jakob Weimar; Gerrit Kollegger; Josef Wiemeyer; Jan Peters; Guilherme Maeda

    Assisting Movement Training and Execution With Visual and Haptic Feedback

    In: Frontiers in Neurorobotics, Vol. 12, Pages 0-10, Frontiers, 2018.

  4. Oliver Kroemer; Simon Leischnig; Stefan Luettgen; Jan Peters

    A kernel-based approach to learning contact distributions for robot manipulation tasks

    In: Autonomous Robots, Vol. 42, No. 3, Pages 581-600, Springer, 2018.

  5. Alexandros Paraschos; Christian Daniel; Jan Peters; Gerhard Neumann

    Using probabilistic movement primitives in robotics

    In: Autonomous Robots, Vol. 42, No. 3, Pages 529-551, Springer, 2018.

  6. Takayuki Osa; Jan Peters; Gerhard Neumann

    Hierarchical reinforcement learning of multiple grasping strategies with human instructions

    In: Advanced Robotics, Vol. 32, No. 18, Pages 955-968, Taylor & Francis Online, 2018.

  7. Alexandros Paraschos; Elmar Rueckert; Jan Peters; Gerhard Neumann

    Probabilistic movement primitives under unknown system dynamics

    In: Advanced Robotics, Vol. 32, No. 6, Pages 297-310, Taylor & Francis Online, 2018.

  8. Daniel Tanneberg; Elmar Rueckert; Jan Peters

    Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1911.00926, Pages 0-10, arXiv, 2019.

  9. Zhang-Wei Hong; Joni Pajarinen; Jan Peters

    Model-based Lookahead Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1908.06012, Pages 0-10, arXiv, 2019.

  10. Zinan Liu; Arne Hitzmann; Shuhei Ikemoto; Svenja Stark; Jan Peters; Koh Hosoda

    Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1906.09013, Pages 0-10, arXiv, 2019.

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