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Publikationen

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  1. Joe Watson; Jihao Andreas Lin; Pascal Klink; Joni Pajarinen; Jan Peters

    Latent Derivative Bayesian Last Layer Networks

    In: Arindam Banerjee; Kenji Fukumizu (Hrsg.). The 24th International Conference on Artificial Intelligence and Statistics. International Conference on …

  2. Florian Stuhlenmiller; Debora Clever; Stephan Rinderknecht; Michael Lutter; Jan Peters

    Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System

    In: 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE/ASME International Conference on Advanced Intelligent …

  3. Samuel Bustamante; Jan Peters; Bernhard Schölkopf; Moritz Grosse-Wentrup; Vinay Jayaram

    ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics

    In: IEEE Transactions on Human-Machine Systems, Vol. 51, No. 6, Pages 568-577, IEEE, 2021.

  4. Daniel Tanneberg; Kai Ploeger; Elmar Rueckert; Jan Peters

    SKID RAW: Skill Discovery From Raw Trajectories

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 6, No. 3, Pages 4696-4703, IEEE, 2021.

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

    Data-Efficient Domain Randomization With Bayesian Optimization

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 6, No. 2, Pages 911-918, IEEE, 2021.

  6. Fabio Muratore; Michael Gienger; Jan Peters

    Assessing Transferability From Simulation to Reality for Reinforcement Learning

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 43, No. 4, Pages 1172-1183, IEEE, 2021.