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Systemische KI für Lernende Roboter


Page 2 of 49.

  1. Andreas Look; Melih Kandemir; Barbara Rakitsch; Jan Peters

    A Deterministic Approximation to Neural SDEs

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 45, No. 4, Pages 4023-4037, IEEE, 2023.

  2. Dieter Büchler; Roberto Calandra; Jan Peters

    Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots

    In: Robotics and Autonomous Systems (RAS), Vol. 159, Pages 0-10, Elsevier, 2023.

  3. Andreas Look; Barbara Rakitsch; Melih Kandemir; Jan Peters

    Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems

    In: Transactions on Machine Learning Research, Vol. 2023, Pages 0-10, JMLR, 2023.

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

    Model-Based Uncertainty in Value Functions

    In: Francisco J. R. Ruiz; Jennifer G. Dy; Jan-Willem van de Meent (Hrsg.). International Conference on Artificial Intelligence and Statistics. …

  5. Piotr Kicki; Puze Liu; Davide Tateo; Haitham Bou-Ammar; Krzysztof Walas; Piotr Skrzypczynski; Jan Peters

    Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks

    In: IEEE Transactions on Robotics (T-RO), Vol. abs/2301.04330, Pages 0-10, IEEE, 2023.

  6. Shangding Gu; Alap Kshirsagar; Yali Du; Guang Chen; Yaodong Yang; Jan Peters; Alois C. Knoll

    A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2302.13137, Pages 0-10, arXiv, 2023.

  7. Théo Vincent; Boris Belousov; Carlo D'Eramo; Jan Peters (Hrsg.)

    Iterated Deep Q-Network: Efficient Learning of Bellman Iterations for Deep Reinforcement Learning

    European Workshop on Reinforcement Learning (EWRL-2023), European Workshop on Reinforcement Learning, 2023.

  8. Daniel Palenicek; Michael Lutter; Joao Carvalho; Jan Peters

    Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning

    In: The Eleventh International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2023), …

  9. 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 …

  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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