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Learning Deep Visuomotor Policies for Dexterous Hand Manipulation., , , , , и . ICRA, стр. 3636-3643. IEEE, (2019)Fast, strong and compliant pneumatic actuation for dexterous tendon-driven hands., , и . ICRA, стр. 1512-1519. IEEE, (2013)Effects of convergent-divergent vortex finders on the performance of cyclone separators using computational fluid dynamics simulations., и . Simul., (2020)ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots., , , , , , и . CoRL, том 100 из Proceedings of Machine Learning Research, стр. 1300-1313. PMLR, (2019)GDP Release from the Open Conformation of Gα Requires Allosteric Signaling from the Agonist-Bound Human β2 Adrenergic Receptor., , , , , и . J. Chem. Inf. Model., 60 (8): 4064-4075 (2020)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)Soft Actor-Critic Algorithms and Applications., , , , , , , , , и 1 other автор(ы). CoRR, (2018)RoboHive: A Unified Framework for Robot Learning., , , , , , , и . CoRR, (2023)MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations., , , , , и . CoRR, (2022)