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Efficient Φ-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games., , , и . CoRR, (2024)Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games., , , , и . EC, стр. 89. ACM, (2023)Near-Optimal No-Regret Learning Dynamics for General Convex Games., , , , , и . NeurIPS, (2022)Almost universally optimal distributed Laplacian solvers via low-congestion shortcuts., , , , и . Distributed Comput., 36 (4): 475-499 (декабря 2023)Deterministic Distributed Algorithms and Lower Bounds in the Hybrid Model., и . DISC, том 209 из LIPIcs, стр. 5:1-5:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games., , , и . NeurIPS, (2022)Uncoupled Learning Dynamics with O(log T) Swap Regret in Multiplayer Games., , , , , и . NeurIPS, (2022)Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property., , , и . AAAI, стр. 9451-9459. AAAI Press, (2024)Robust Learning under Strong Noise via SQs., , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 3808-3816. PMLR, (2021)Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games., , , , , , , , , и . CoRR, (2023)