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MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations.

, , , , , and . ICLR, OpenReview.net, (2023)

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R3M: A Universal Visual Representation for Robot Manipulation., , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 892-909. PMLR, (2022)RRL: Resnet as representation for Reinforcement Learning., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9465-9476. PMLR, (2021)CoNMix for Source-free Single and Multi-target Domain Adaptation., , , and . WACV, page 4167-4177. IEEE, (2023)Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost., , , , and . CoRR, (2018)Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations., , , , , and . CoRR, (2017)Zero-Shot Robot Manipulation from Passive Human Videos., , , and . CoRR, (2023)RoboHive: A Unified Framework for Robot Learning., , , , , , , and . CoRR, (2023)A semantic policy sharing and adaptation infrastructure for pervasive communities.. WWW (Companion Volume), page 155-160. ACM, (2012)Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations., , , , , , and . Robotics: Science and Systems, (2018)MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand., , , , , , , , , and 19 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 233-250. PMLR, (2021)