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Jahr: 2021
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  1. Puze Liu; Davide Tateo; Haitham Bou-Ammar; Jan Peters

    Robot Reinforcement Learning on the Constraint Manifold

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1357-1366, Proceedings of Machine Learning Research, Vol. 164, PMLR, 2021.

  2. Michael Lutter; Debora Clever; René Kirsten; Kim Listmann; Jan Peters

    Building Skill Learning Systems for Robotics

    In: 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE International Conference on Automation Science and Engineering (CASE-2021), August 23-27, Lyon, France, Pages 1878-1883, IEEE, 2021.

  3. Joe Watson; Jan Peters

    Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

    In: 2021 American Control Conference. American Control Conference (ACC-2021), May 25-28, New Orleans, LA, USA, Pages 1231-1236, IEEE, 2021.

  4. 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 Artificial Intelligence and Statistics (AISTATS-2021), April 13-15, Pages 1198-1206, Proceedings of Machine Learning Research, Vol. 130, PMLR, 2021.

  5. 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 Mechatronics (AIM-2021), July 12-16, Delft, Netherlands, Pages 842-847, IEEE, 2021.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Riad Akrour; Asma Atamna; Jan Peters

    Convex optimization with an interpolation-based projection and its application to deep learning

    In: Machine Learning, Vol. 110, No. 8, Pages 2267-2289, Springer, 2021.

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