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End-to-End Training of Deep Visuomotor Policies., , , и . CoRR, (2015)Overcoming Exploration in Reinforcement Learning with Demonstrations., , , , и . CoRR, (2017)Deep Object-Centric Representations for Generalizable Robot Learning., , , и . CoRR, (2017)Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4739-4748. PMLR, (2018)Model-Based Reinforcement Learning via Meta-Policy Optimization., , , , , и . CoRL, том 87 из Proceedings of Machine Learning Research, стр. 617-629. PMLR, (2018)Mutual Alignment Transfer Learning., , и . CoRL, том 78 из Proceedings of Machine Learning Research, стр. 281-290. PMLR, (2017)One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks., , , и . CoRR, (2018)Preferences Implicit in the State of the World., , , , и . ICLR (Poster), OpenReview.net, (2019)Constrained Policy Optimization., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 22-31. PMLR, (2017)Alpha-Beta Divergences Discover Micro and Macro Structures in Data., , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 796-804. JMLR.org, (2015)