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Publikationen

Zeige Ergebnisse 31 bis 40 von 572
  1. Riad Akrour; Joni Pajarinen; Jan Peters; Gerhard Neumann

    Projections for Approximate Policy Iteration Algorithms

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference …

  2. Michael Lutter; Christian Ritter; Jan Peters

    Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

    In: 7th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, …

  3. Joe Watson; Hany Abdulsamad; Jan Peters

    Stochastic Optimal Control as Approximate Input Inference

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning, Proceedings. Conference on Robot Learning …

  4. Mikko Lauri; Joni Pajarinen; Jan Peters

    Information Gathering in Decentralized POMDPs by Policy Graph Improvement

    In: Edith Elkind; Manuela Veloso; Noa Agmon; Matthew E. Taylor (Hrsg.). AAMAS '19: Proceedings of the 18th International Conference on Autonomous …

  5. Okan Koc; Guilherme Maeda; Jan Peters

    Optimizing the Execution of Dynamic Robot Movements With Learning Control

    In: IEEE Transactions on Robotics (T-RO), Vol. 35, No. 4, Pages 909-924, IEEE, 2019.

  6. Sebastián Gómez-González; Yassine Nemmour; Bernhard Schölkopf; Jan Peters

    Reliable Real-Time Ball Tracking for Robot Table Tennis

    In: Robotics, Vol. 8, No. 4, Pages 0-10, MDPI, 2019.

  7. Dorothea Koert; Joni Pajarinen; Albert Schotschneider; Susanne Trick; Constantin A. Rothkopf; Jan Peters

    Learning Intention Aware Online Adaptation of Movement Primitives

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 4, Pages 3719-3726, IEEE, 2019.

  8. Florian Brandherm; Jan Peters; Gerhard Neumann; Riad Akrour

    Learning Replanning Policies With Direct Policy Search

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 2, Pages 2196-2203, IEEE, 2019.

  9. 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.

  10. 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.