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Publications

 

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Displaying results 81 to 90 of 12968.

  1. Alessandro G. Bottero; Carlos E. Luis; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Information-Theoretic Safe Exploration with Gaussian Processes

    In: Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Curran Associates, Inc. 2022.

  2. Niklas Funk; Svenja Menzenbach; Georgia Chalvatzaki; Jan Peters

    Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), …

  3. Julen Urain; An T. Le; Alexander Lambert; Georgia Chalvatzaki; Byron Boots; Jan Peters

    Learning Implicit Priors for Motion Optimization

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), …

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Simone Parisi; Davide Tateo; Maximilian Hensel; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning

    In: Algorithms, Vol. 15, No. 3, Pages 0-10, MDPI, 2022.

  9. 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.

  10. 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.

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