Systemische KI für Lernende Roboter

Page 2 of 49.

1. 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.

2. 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. …

3. 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.

4. 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.

5. 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.

6. 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), …

7. 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 …

8. 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.

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. Michael Lutter; Jan Peters

    Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models

    In: International Journal of Robotics Research (IJRR), Vol. abs/2110.01894, Pages 83-107, Sage Publications, 2023.

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