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From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization.

, , , , , , , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8525-8535. PMLR, (2021)

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Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search., , , , , , and . CoRR, (2018)Machine Translation Decoding beyond Beam Search., , , , , , , and . EMNLP (1), page 8410-8434. Association for Computational Linguistics, (2021)α-Rank: Multi-Agent Evaluation by Evolution., , , , , , , , , and . CoRR, (2019)From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization., , , , , , , , , and 3 other author(s). ICML, volume 139 of Proceedings of Machine Learning Research, page 8525-8535. PMLR, (2021)Accelerating Large Language Model Decoding with Speculative Sampling., , , , , and . CoRR, (2023)Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search., , , , , , and . ICLR (Poster), OpenReview.net, (2019)Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning., , , , , , , , , and 24 other author(s). CoRR, (2022)Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients., , , , , , , , , and 1 other author(s). AAMAS, page 492-501. International Foundation for Autonomous Agents and Multiagent Systems, (2020)From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization., , , , , , , , , and 3 other author(s). CoRR, (2020)Improving Language Models by Retrieving from Trillions of Tokens., , , , , , , , , and 18 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 2206-2240. PMLR, (2022)