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A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play, , , , , , , , , и 1 other автор(ы). Science, 362 (6419): 1140--1144 (2018)Learning from Demonstrations for Real World Reinforcement Learning., , , , , , , , , и 2 other автор(ы). CoRR, (2017)A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning, , , , , , , и . (2017)cite arxiv:1711.00832Comment: Camera-ready copy of NIPS 2017 paper, including appendix.Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling., , и . J. Artif. Intell. Res., (2011)Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence., , , , , , , , , и 27 other автор(ы). AI Mag., 40 (3): 67-78 (2019)A Generalized Training Approach for Multiagent Learning., , , , , , , , , и 5 other автор(ы). CoRR, (2019)Game Theoretic Rating in N-player general-sum games with Equilibria., , , , , , , и . CoRR, (2022)Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization., , , и . CoRR, (2024)Evaluating Agents using Social Choice Theory., , , , , , , , и . CoRR, (2023)Hindsight and Sequential Rationality of Correlated Play., , , , , , и . AAAI, стр. 5584-5594. AAAI Press, (2021)