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Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning.

, , , , and . Robotics: Science and Systems, (2021)

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On the Benefit of Optimal Transport for Curriculum Reinforcement Learning., , , and . CoRR, (2023)Estimating Maximum Expected Value through Gaussian Approximation., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1032-1040. JMLR.org, (2016)Exploration Driven by an Optimistic Bellman Equation., , , , and . IJCNN, page 1-8. IEEE, (2019)Prioritized Sampling with Intrinsic Motivation in Multi-Task Reinforcement Learning., and . IJCNN, page 1-8. IEEE, (2022)Domain Randomization via Entropy Maximization., , , , , and . CoRR, (2023)Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning., , , , , and . ICRA, page 6672-6678. IEEE, (2021)Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning., , , , , and . CoRR, (2020)Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts., , and . CoRR, (2023)Contact Energy Based Hindsight Experience Prioritization., , , , and . CoRR, (2023)Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning., , , , and . Robotics: Science and Systems, (2021)