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Publications

 

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Displaying results 51 to 60 of 574.
  1. Okan Koc; Jan Peters

    Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 2, Pages 1784-1791, IEEE, 2019.

  2. Daniel Tanneberg; Jan Peters; Elmar Rueckert

    Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks

    In: Neural Networks, Vol. 109, Pages 67-80, Elsevier, 2019.

  3. Simone Parisi; Voot Tangkaratt; Jan Peters; Mohammad Emtiyaz Khan

    TD-regularized actor-critic methods

    In: Machine Learning, Vol. 108, No. 8-9, Pages 1467-1501, Springer, 2019.

  4. Joni Pajarinen; Hong Linh Thai; Riad Akrour; Jan Peters; Gerhard Neumann

    Compatible natural gradient policy search

    In: Machine Learning, Vol. 108, No. 8-9, Pages 1443-1466, Springer, 2019.

  5. Carlos Celemin; Guilherme Maeda; Javier Ruiz-del-Solar; Jan Peters; Jens Kober

    Reinforcement learning of motor skills using Policy Search and human corrective advice

    In: International Journal of Robotics Research (IJRR), Vol. 38, No. 14, Pages 0-10, Sage Publications, 2019.

  6. Marco Ewerton; Oleg Arenz; Guilherme Maeda; Dorothea Koert; Zlatko Kolev; Masaki Takahashi; Jan Peters

    Learning Trajectory Distributions for Assisted Teleoperation and Path Planning

    In: Frontiers in Robotics and AI, Vol. 6, Pages 0-10, Frontiers, 2019.

  7. Tim Schürmann; Betty J. Mohler; Jan Peters; Philipp Beckerle

    How Cognitive Models of Human Body Experience Might Push Robotics

    In: Frontiers in Neurorobotics, Vol. 13, Pages 0-10, Frontiers, 2019.

  8. Stefan Fischer; Martin Leucker; Christoph Lüth; Thomas Martinetz; Raimund Mildner; Dirk Nowotka; Frank Steinicke

    KI-SIGS: Artificial Intelligence for the Northern German Health Ecosystem

    In: Digitale Welt, Vol. 4, Pages 49-54, Springer Verlag, 12/2019.

  9. Thomas Röfer; Tim Laue; Andreas Baude; Jan Blumenkamp; Gerrit Felsch; Jan Fiedler; Arne Hasselbring; Tim Haß; Jan Oppermann; Philip Reichenberg; Nicole Schrader; Dennis Weiß

    B-Human Team Report and Code Release 2019

    2019.

  10. Christian Espinoza-Stapelfeld; Viktor Eisenstadt; Klaus-Dieter Althoff

    Comparative Quantitative Evaluation of Distributed Methods for Explanation Generation and Validation of Floor Plan Recommendations

    In: Jaap van den Herik; Ana Paula Rocha (Hrsg.). Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence …