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Publications

Displaying results 1741 to 1750 of 13867.

  1. 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.

  2. 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.

  3. 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.

  4. Julen Urain; Davide Tateo; Tianyu Ren; Jan Peters

    Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.06224, Pages 0-10, arXiv, 2020.

  5. Sebastian Höfer; Kostas E. Bekris; Ankur Handa; Juan Camilo Gamboa Higuera; Florian Golemo; Melissa Mozifian; Christopher G. Atkeson; Dieter Fox; Ken Goldberg; John Leonard; C. Karen Liu; Jan Peters; Shuran Song; Peter Welinder; Martha White

    Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.03806, Pages 0-10, arXiv, 2020.

  6. Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters

    A Differentiable Newton Euler Algorithm for Multi-body Model Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2010.09802, Pages 0-10, arXiv, 2020.

  7. Andreas Look; Simona Doneva; Melih Kandemir; Rainer Gemulla; Jan Peters

    Differentiable Implicit Layers

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2010.07078, Pages 0-10, arXiv, 2020.

  8. Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Self-Paced Deep Reinforcement Learning

    In: Hugo Larochelle; Marc'Aurelio Ranzato; Raia Hadsell; Maria-Florina Balcan; Hsuan-Tien Lin (Hrsg.). Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020. Neural Information Processing Systems (NeurIPS-2020), December 6-12, Curran Associates, Inc. 2020.

  9. Hany Abdulsamad; Jan Peters

    Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation

    In: Alexandre M. Bayen; Ali Jadbabaie; George J. Pappas; Pablo A. Parrilo; Benjamin Recht; Claire J. Tomlin; Melanie N. Zeilinger (Hrsg.). Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control. Learning for Dynamics and Control Conference (L4DC-2020), June 11-12, Berkeley, CA, USA, Pages 904-914, Proceedings of Machine Learning Research, Vol. 120, PMLR, 2020.

  10. Abraham Imohiosen; Joe Watson; Jan Peters

    Active Inference or Control as Inference? A Unifying View

    In: Tim Verbelen; Pablo Lanillos; Christopher L. Buckley; Cedric De Boom (Hrsg.). Active Inference - First International Workshop. International Workshop on Active Inference (IWAI-2020), September 14, Ghent, Belgium, Pages 12-19, Communications in Computer and Information Science, Vol. 1326, Springer, 2020.

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