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Publikationen

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Jahr: 2020
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  1. 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.

  2. 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.

  3. 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.

  4. Vignesh Prasad; Ruth Stock-Homburg; Jan Peters

    Advances in Human-Robot Handshaking

    In: Alan R. Wagner; David Feil-Seifer; Kerstin Sophie Haring; Silvia Rossi; Thomas Emrys Williams; Hongsheng He; Shuzhi Sam Ge (Hrsg.). Social Robotics - 12th International Conference. International Conference on Social Robotics (ICSR-2020), November 14-18, Golden, CO, USA, Pages 478-489, Lecture Notes in Computer Science, Vol. 12483, Springer, 2020.

  5. 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.

  6. 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.

  7. 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.

  8. Allan Almeida Santos; Edwin Mora; Jan Peters; Florian Steinke

    Decentralized Data-Driven Tuning of Droop Frequency Controllers

    In: IEEE PES Innovative Smart Grid Technologies Europe. IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe-2020), October 26-28, Delft, Netherlands, Pages 141-145, IEEE, 2020.

  9. Leon Keller; Daniel Tanneberg; Svenja Stark; Jan Peters

    Model-Based Quality-Diversity Search for Efficient Robot Learning

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 9675-9680, IEEE, 2020.

  10. Anton Ziese; Mario Daniele Fiore; Jan Peters; Uwe E. Zimmermann; Jürgen Adamy

    Redundancy resolution under hard joint constraints: a generalized approach to rank updates

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 7447-7453, IEEE, 2020.

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