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Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning.

, , , and . ICRA, page 4163-4170. IEEE, (2021)

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Online Learning of an Open-Ended Skill Library for Collaborative Tasks., , , , and . Humanoids, page 1-9. IEEE, (2018)Continuous-Time Fitted Value Iteration for Robust Policies., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (5): 5534-5548 (May 2023)Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems., , and . IROS, page 7718-7725. IEEE, (2019)Learning Dynamics Models for Model Predictive Agents., , , , , , , and . CoRR, (2021)Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning., , and . ICLR (Poster), OpenReview.net, (2019)Combining physics and deep learning to learn continuous-time dynamics models., and . Int. J. Robotics Res., 42 (3): 83-107 (March 2023)Inductive Biases in Machine Learning for Robotics and Control. Springer Tracts in Advanced Robotics Springer, (2023)Inductive Biases in Machine Learning for Robotics and Control. TU Darmstadt, Germany, (2021)base-search.net (ftulbdarmstadt:oai:tuprints.ulb.tu-darmstadt.de:20048).Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models., and . CoRR, (2021)Robust Value Iteration for Continuous Control Tasks., , , , and . Robotics: Science and Systems, (2021)