Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning - researchr publication authors

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Hsu Kao, Vijay G. Subramanian. Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning. In Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera, editors, International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. Volume 151 of Proceedings of Machine Learning Research, pages 6947-6967, PMLR, 2022. [doi]

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