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News/Minimax-Optimal Policy Regret in Partially Observable Markov Games
arxiv
PublishedJune 2, 2026 at 4:00 AM

Minimax-Optimal Policy Regret in Partially Observable Markov Games

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arXiv:2606.02363v1 Announce Type: new Abstract: We study sequential decision-making in partially observable environments against strategic, adaptive opponents, modeled as partially observable Markov games (POMGs). The central challenge is to learn latent dynamics from partial observations while faci

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