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Year: 2020
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Displaying results 101 to 110 of 599.

  1. Andreas Look; Chen Qiu; Maja Rudolph; Jan Peters; Melih Kandemir

    Deterministic Inference of Neural Stochastic Differential Equations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.08973, Pages 0-10, arXiv, 2020.

  2. Riad Akrour; Davide Tateo; Jan Peters

    Reinforcement Learning from a Mixture of Interpretable Experts

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05911, Pages 0-10, arXiv, 2020.

  3. Nikolaos Gkanatsios; Georgia Chalvatzaki; Petros Maragos; Jan Peters

    Orientation Attentive Robot Grasp Synthesis

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05123, Pages 0-10, arXiv, 2020.

  4. Andrea Cini; Carlo D'Eramo; Jan Peters; Cesare Alippi

    Deep Reinforcement Learning with Weighted Q-Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.09280, Pages 0-10, arXiv, 2020.

  5. Philip Becker-Ehmck; Maximilian Karl; Jan Peters; Patrick van der Smagt

    Learning to Fly via Deep Model-Based Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.08876, Pages 0-10, arXiv, 2020.

  6. Marcus Ebner von Eschenbach; Binyamin Manela; Jan Peters; Armin Biess

    Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02638, Pages 0-10, arXiv, 2020.

  7. Samuele Tosatto; Jonas Stadtmueller; Jan Peters

    Dimensionality Reduction of Movement Primitives in Parameter Space

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02634, Pages 0-10, arXiv, 2020.

  8. Fabio Muratore; Christian Eilers; Michael Gienger; Jan Peters

    Bayesian Domain Randomization for Sim-to-Real Transfer

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02471, Pages 0-10, arXiv, 2020.

  9. Samuele Tosatto; Riad Akrour; Jan Peters

    An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2001.10972, Pages 0-10, arXiv, 2020.

  10. Diego Agudelo-Espa~na; Sebastián Gómez-González; Stefan Bauer; Bernhard Schölkopf; Jan Peters

    Bayesian Online Prediction of Change Points

    In: Ryan P. Adams; Vibhav Gogate (Hrsg.). Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2020), August 3-6, Pages 320-329, Proceedings of Machine Learning Research, Vol. 124, AUAI Press, 2020.

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