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Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search., , и . J. Artif. Intell. Res., (2013)Increasing the Action Gap: New Operators for Reinforcement Learning., , , , и . CoRR, (2015)Learning functions across many orders of magnitudes., , , и . CoRR, (2016)Counterfactual Credit Assignment in Model-Free Reinforcement Learning., , , , , , , , , и 3 other автор(ы). CoRR, (2020)On the role of planning in model-based deep reinforcement learning., , , , , , , , , и . CoRR, (2020)Mastering the game of Go with deep neural networks and tree search, , , , , , , , , и 1 other автор(ы). Nature, 529 (7587): 484--489 (2016)Mastering the game of Go without human knowledge., , , , , , , , , и 7 other автор(ы). Nat., 550 (7676): 354-359 (2017)Imagination-Augmented Agents for Deep Reinforcement Learning., , , , , , , , , и 5 other автор(ы). NIPS, стр. 5690-5701. (2017)Large-Scale Retrieval for Reinforcement Learning., , , , , и . NeurIPS, (2022)The Predictron: End-To-End Learning and Planning., , , , , , , , , и 1 other автор(ы). CoRR, (2016)