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The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning

, , , , , and . ICLR, (2017)cite arxiv:1704.04651.

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The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning, , , , , and . ICLR, (2017)cite arxiv:1704.04651.Approximate Exploration through State Abstraction., , and . CoRR, (2018)A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 4357-4366. PMLR, (2020)An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents., , , , , , , , , and . CoRR, (2018)The Value Function Polytope in Reinforcement Learning., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1486-1495. PMLR, (2019)Hyperbolic Discounting and Learning over Multiple Horizons, , , , and . (2019)cite arxiv:1902.06865.Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces., , and . CoRR, (2020)An Introduction to Deep Reinforcement Learning., , , , and . Foundations and Trends in Machine Learning, 11 (3-4): 219-354 (2018)Small batch deep reinforcement learning., , and . CoRR, (2023)ConText-GAN: using contextual texture information for realistic and controllable medical image synthesis., , , and . BHI, page 1-4. IEEE, (2023)