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Overcoming Exploration in Reinforcement Learning with Demonstrations., , , , и . CoRR, (2017)End-to-End Training of Deep Visuomotor Policies., , , и . CoRR, (2015)Deep Object-Centric Representations for Generalizable Robot Learning., , , и . CoRR, (2017)Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 3408-3417. PMLR, (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)Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design., , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 2722-2730. PMLR, (2019)Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation., , , , и . IROS, стр. 5265-5272. IEEE, (2015)Policy transfer via modularity and reward guiding., , и . IROS, стр. 1537-1544. IEEE, (2017)Overcoming Exploration in Reinforcement Learning with Demonstrations., , , , и . ICRA, стр. 6292-6299. IEEE, (2018)