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Publications

Displaying results 1821 to 1830 of 13872.

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

    Human-Robot Handshaking: A Review

    In: International Journal of Social Robotics, Vol. 14, No. 1, Pages 277-293, Springer, 2022.

  2. Bang You; Oleg Arenz; Youping Chen; Jan Peters

    Integrating contrastive learning with dynamic models for reinforcement learning from images

    In: Neurocomputing, Vol. 476, Pages 102-114, Elsevier, 2022.

  3. Niklas Funk; Charles B. Schaff; Rishabh Madan; Takuma Yoneda; Julen Urain De Jesus; Joe Watson; Ethan K. Gordon; Felix Widmaier; Stefan Bauer; Siddhartha S. Srinivasa; Tapomayukh Bhattacharjee; Matthew R. Walter; Jan Peters

    Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 7, No. 1, Pages 478-485, IEEE, 2022.

  4. Riad Akrour; Davide Tateo; Jan Peters

    Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 44, No. 10, Pages 6795-6806, IEEE, 2022.

  5. Samuele Tosatto; Jo~ao Carvalho; Jan Peters

    Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 44, No. 10, Pages 5996-6010, IEEE, 2022.

  6. Jihao Andreas Lin; Joe Watson; Pascal Klink; Jan Peters

    Function-Space Regularization for Deep Bayesian Classification

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2307.06055, Pages 0-10, arXiv, 2023.

  7. Johanna Bethge; Maik Pfefferkorn; Alexander Rose; Jan Peters; Rolf Findeisen

    Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2303.04725, Pages 0-10, arXiv, 2023.

  8. An T. Le; Kay Hansel; Jan Peters; Georgia Chalvatzaki

    Hierarchical Policy Blending As Optimal Transport

    In: Nikolai Matni; Manfred Morari; George J. Pappas (Hrsg.). Proceedings of The 5th Annual Learning for Dynamics and Control Conference. Learning for Dynamics and Control Conference (L4DC-2023), June 14-16, Philadelphia, PA, USA, Pages 797-812, Proceedings of Machine Learning Research (PMLR), Vol. 211, PMLR, 2023.

  9. Fabio Muratore; Fabio Ramos; Greg Turk; Wenhao Yu; Michael Gienger; Jan Peters

    Robot Learning From Randomized Simulations: A Review

    In: Frontiers in Robotics and AI, Vol. 9, Pages 0-10, Frontiers, 2022.

  10. Hamish Flynn; David Reeb; Melih Kandemir; Jan Peters

    PAC-Bayesian lifelong learning for multi-armed bandits

    In: Data Mining and Knowledge Discovery, Vol. 36, No. 2, Pages 841-876, Springer, 2022.

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