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A Game-Theoretic Approach to Multi-Agent Trust Region Optimization., , , , , , and . CoRR, (2021)MANSA: Learning Fast and Slow in Multi-Agent Systems., , , , , , , , , and . CoRR, (2023)An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning., , , , , , and . CoRR, (2017)SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving., , , , , , , , , and 22 other author(s). CoRL, volume 155 of Proceedings of Machine Learning Research, page 264-285. PMLR, (2020)What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator., , , , , , , , , and 2 other author(s). AAAI, page 8441-8449. AAAI Press, (2022)Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games., , , , , , , and . NeurIPS, page 941-952. (2021)Multi-Agent Reinforcement Learning is a Sequence Modeling Problem., , , , , , and . NeurIPS, (2022)Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing., , , , , and . NeurIPS, (2022)Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning., , , and . NeurIPS, (2022)Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets., , , and . NeurIPS, (2020)