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α-Rank: Multi-Agent Evaluation by Evolution.

, , , , , , , , , и . CoRR, (2019)

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Herbert Rowland

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Orthogonal Estimation of Wasserstein Distances., , , , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 186-195. PMLR, (2019)α-Rank: Multi-Agent Evaluation by Evolution., , , , , , , , , и . CoRR, (2019)A General Theoretical Paradigm to Understand Learning from Human Preferences., , , , , , и . CoRR, (2023)DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 33657-33673. PMLR, (2023)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)Bootstrapped Representations in Reinforcement Learning., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 18686-18713. PMLR, (2023)Statistics and Samples in Distributional Reinforcement Learning., , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 5528-5536. PMLR, (2019)Unifying Orthogonal Monte Carlo Methods., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 1203-1212. PMLR, (2019)Human Alignment of Large Language Models through Online Preference Optimisation., , , , , , , , , и 3 other автор(ы). ICML, OpenReview.net, (2024)Conditions beyond treewidth for tightness of higher-order LP relaxations., , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 10-18. PMLR, (2017)