CAREER: Foundations of Dynamic Multi-Agent Learning Under Information Constraints
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Recent years have witnessed significant progress of learning in dynamic environments. Many such success stories, e.g., AlphaGo, autonomous driving, and robot learning, naturally involve “multiple agents”. Note that these agents usually operate under “Information Constraints” as the underlying system state is only partially observable, and each…
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