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Rainbow: Combining Improvements in Deep Reinforcement Learning

, , , , , , , , , and . (2017)cite arxiv:1710.02298Comment: Under review as a conference paper at AAAI 2018.

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Rainbow: Combining Improvements in Deep Reinforcement Learning, , , , , , , , , and . (2017)cite arxiv:1710.02298Comment: Under review as a conference paper at AAAI 2018.The Reactor: A Sample-Efficient Actor-Critic Architecture., , , and . CoRR, (2017)Geometric Entropic Exploration., , , , , , , , , and . CoRR, (2021)Bootstrapped Representation Learning on Graphs., , , , , and . CoRR, (2021)The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning, , , , , and . ICLR, (2017)cite arxiv:1704.04651.Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes., , and . UAI, AUAI Press, (2016)Rainbow: Combining Improvements in Deep Reinforcement Learning., , , , , , , , , and . AAAI, page 3215-3222. AAAI Press, (2018)Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice., , , , , , , , , and 5 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 17135-17175. PMLR, (2023)Observe and Look Further: Achieving Consistent Performance on Atari., , , , , , , , , and 3 other author(s). CoRR, (2018)On the Sample Complexity of Reinforcement Learning with a Generative Model ., , and . ICML, icml.cc / Omnipress, (2012)