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Reinforcement Learning: The Multi-Player Case. (Apprentissage par Renforcement: Le Cas Multijoueur).. Lille University of Science and Technology, France, (2017)Scaling up Mean Field Games with Online Mirror Descent., , , , , , , и . CoRR, (2021)Neural Replicator Dynamics., , , , , , , , и . CoRR, (2019)α-Rank: Multi-Agent Evaluation by Evolution., , , , , , , , , и . CoRR, (2019)Generalization in Mean Field Games by Learning Master Policies., , , , , и . CoRR, (2021)Generalization in Mean Field Games by Learning Master Policies., , , , , и . AAAI, стр. 9413-9421. AAAI Press, (2022)Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach., , , , , , , , , и . AAMAS, стр. 1557-1559. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization., , , , , , , , , и 3 other автор(ы). ICML, том 139 из Proceedings of Machine Learning Research, стр. 8525-8535. PMLR, (2021)The Advantage Regret-Matching Actor-Critic., , , , , , , , , и 3 other автор(ы). CoRR, (2020)Malthusian Reinforcement Learning., , , , , , , , и . CoRR, (2018)