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Publications

Displaying results 1501 to 1510 of 5313.

  1. Elmar Rueckert; Moritz Nakatenus; Samuele Tosatto; Jan Peters

    Learning inverse dynamics models in O(n) time with LSTM networks

    In: 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2017), November 15-17, Birmingham, United Kingdom, Pages 811-816, IEEE, 2017.

  2. Svenja Stark; Jan Peters; Elmar Rueckert

    A comparison of distance measures for learning nonparametric motor skill libraries

    In: 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2017), November 15-17, Birmingham, United Kingdom, Pages 624-630, IEEE, 2017.

  3. Daniel Tanneberg; Jan Peters; Elmar Rueckert

    Efficient online adaptation with stochastic recurrent neural networks

    In: 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2017), November 15-17, Birmingham, United Kingdom, Pages 198-204, IEEE, 2017.

  4. Lukas Großberger; Matthias R. Hohmann; Jan Peters; Moritz Grosse-Wentrup

    Investigating Music imagery as a Cognitive Paradigm for low-Cost brain-Computer Interfaces

    In: Gernot R. Müller-Putz; David Steyrl; Selina C. Wriessnegger; Reinhold Scherer (Hrsg.). From Vision to Reality - Proceedings of the 7th Graz Brain-Computer Interface Conference 2017. Graz Brain-Computer Interface Conference (GBCIC-2017), September 18-22, Graz, Austria, ISBN 978-3-85125-533-1, Verlag der Technischen Universitaet Graz, 2017.

  5. Daniel Tanneberg; Jan Peters; Elmar Rueckert

    Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals

    In: Proceedings of the 1st Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2017), November 13-15, Mountain View, California, USA, Pages 167-174, Proceedings of Machine Learning Research, Vol. 78, PMLR, 2017.

  6. Guilherme Maeda; Marco Ewerton; Takayuki Osa; Baptiste Busch; Jan Peters

    Active Incremental Learning of Robot Movement Primitives

    In: Proceedings of the 1st Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2017), November 13-15, Mountain View, California, USA, Pages 37-46, Proceedings of Machine Learning Research, Vol. 78, PMLR, 2017.

  7. Guilherme Maeda; Gerhard Neumann; Marco Ewerton; Rudolf Lioutikov; Oliver Kroemer; Jan Peters

    Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks

    In: Autonomous Robots, Vol. 41, No. 3, Pages 593-612, Springer, 2017.

  8. Okan Koc; Guilherme Maeda; Jan Peters

    Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1807.01918, Pages 0-10, arXiv, 2018.

  9. Filipe Veiga; Benoni B. Edin; Jan Peters

    In-Hand Object Stabilization by Independent Finger Control

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1806.05031, Pages 0-10, arXiv, 2018.

  10. Riad Akrour; Filipe Veiga; Jan Peters; Gerhard Neumann

    Regularizing Reinforcement Learning with State Abstraction

    In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2018), October 1-5, Madrid, Spain, Pages 534-539, IEEE, 2018.

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