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Learning Deep Visuomotor Policies for Dexterous Hand Manipulation.

, , , , , и . ICRA, стр. 3636-3643. IEEE, (2019)

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Aravind Sekhar

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RoboHive: A Unified Framework for Robot Learning., , , , , , , и . CoRR, (2023)Train Offline, Test Online: A Real Robot Learning Benchmark., , , , , , , , , и 2 other автор(ы). ICRA, стр. 9197-9203. IEEE, (2023)Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations., , , , , , и . Robotics: Science and Systems, (2018)Learning Deep Visuomotor Policies for Dexterous Hand Manipulation., , , , , и . ICRA, стр. 3636-3643. IEEE, (2019)Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost., , , , и . CoRR, (2018)Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations., , , , , и . CoRR, (2017)R3M: A Universal Visual Representation for Robot Manipulation., , , , и . CoRL, том 205 из Proceedings of Machine Learning Research, стр. 892-909. PMLR, (2022)On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline., , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 12511-12526. PMLR, (2023)Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control., , , , и . ICLR (Poster), OpenReview.net, (2019)Meta-Learning with Implicit Gradients., , , и . NeurIPS, стр. 113-124. (2019)