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A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play, , , , , , , , , and 3 other author(s). Science, 362 (6419): 1140--1144 (2018)Monte-Carlo Tree Search as Regularized Policy Optimization., , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3769-3778. PMLR, (2020)Faster sorting algorithms discovered using deep reinforcement learning., , , , , , , , , and 20 other author(s). Nat., 618 (7964): 257-263 (2023)Mastering the game of Go without human knowledge., , , , , , , , , and 7 other author(s). Nat., 550 (7676): 354-359 (2017)Learning and Planning in Complex Action Spaces., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4476-4486. PMLR, (2021)Approximate Exploitability: Learning a Best Response., , , , , , , , and . IJCAI, page 3487-3493. ijcai.org, (2022)A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play, , , , , , , , , and 1 other author(s). Science, 362 (6419): 1140--1144 (2018)Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model, , , , , , , , , and 2 other author(s). (2019)cite arxiv:1911.08265.Temperature influence on coulometric trace humidity measurement., , , and . IEEE SENSORS, page 1-3. IEEE, (2017)Online and Offline Reinforcement Learning by Planning with a Learned Model., , , , , and . NeurIPS, page 27580-27591. (2021)