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JaxMARL: Multi-Agent RL Environments in JAX., , , , , , , , , and 10 other author(s). CoRR, (2023)Recurrent Neural Processes, , , and . (2019)cite arxiv:1906.05915.JaxMARL: Multi-Agent RL Environments and Algorithms in JAX., , , , , , , , , and 10 other author(s). AAMAS, page 2444-2446. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Adversarial Cheap Talk., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 22917-22941. PMLR, (2023)Scaling Opponent Shaping to High Dimensional Games., , , , , , , and . AAMAS, page 1001-1010. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Mixture of Experts in a Mixture of RL settings., , , , and . CoRR, (2024)Model-Free Opponent Shaping., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14398-14411. PMLR, (2022)COLA: Consistent Learning with Opponent-Learning Awareness., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 23804-23831. PMLR, (2022)Analysing the Sample Complexity of Opponent Shaping., , , , , and . AAMAS, page 623-631. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)