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The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning, , , , , и . ICLR, (2017)cite arxiv:1704.04651.Rainbow: Combining Improvements in Deep Reinforcement Learning, , , , , , , , , и . (2017)cite arxiv:1710.02298Comment: Under review as a conference paper at AAAI 2018.Learning from Demonstrations for Real World Reinforcement Learning., , , , , , , , , и 2 other автор(ы). CoRR, (2017)Boosted and reward-regularized classification for apprenticeship learning., , и . AAMAS, стр. 1249-1256. IFAAMAS/ACM, (2014)Geometric Entropic Exploration., , , , , , , , , и . CoRR, (2021)Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards., , , , , , , , , и . CoRR, (2017)Rainbow: Combining Improvements in Deep Reinforcement Learning., , , , , , , , , и . AAAI, стр. 3215-3222. AAAI Press, (2018)Neural Predictive Belief Representations., , , , , и . CoRR, (2018)Boosted Bellman Residual Minimization Handling Expert Demonstrations., , и . ECML/PKDD (2), том 8725 из Lecture Notes in Computer Science, стр. 549-564. Springer, (2014)BYOL works even without batch statistics., , , , , , , , , и 1 other автор(ы). CoRR, (2020)