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Year: 2019
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Displaying results 21 to 30 of 576.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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, LA, USA, OpenReview.net, 2019.

  8. 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 (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 697-716, Proceedings of Machine Learning Research, Vol. 100, PMLR, 2019.

  9. 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 Agents and MultiAgent Systems. International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19), May 13-17, Montreal, QC, Canada, Pages 1143-1151, ISBN 978-1-4503-6309-9, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 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(^mbox*)

    In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), November 3-8, Macau, China, Pages 6594-6601, IEEE, 2019.

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