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Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction.

, , , , , , and . ICRA, page 9449-9456. IEEE, (2023)

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Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning., , , , and . Robotics: Science and Systems, (2021)Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks., , , , , , and . CoRR, (2023)Robot Reinforcement Learning on the Constraint Manifold., , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 1357-1366. PMLR, (2021)Composable energy policies for reactive motion generation and reinforcement learning., , , , and . Int. J. Robotics Res., 42 (10): 827-858 (September 2023)Regularized Deep Signed Distance Fields for Reactive Motion Generation., , , , , and . IROS, page 6673-6680. IEEE, (2022)Dimensionality Reduction and Prioritized Exploration for Policy Search., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 2134-2157. PMLR, (2022)Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction., , , , , , and . CoRR, (2022)Efficient and Reactive Planning for High Speed Robot Air Hockey., , , and . IROS, page 586-593. IEEE, (2021)Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction., , , , , , and . ICRA, page 9449-9456. IEEE, (2023)Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications., , , and . CoRR, (2024)