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• W2135684466 abstract "In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the interaction of the multiple decision-makers and propose the novel approximate biased adaptive play algorithm. This algorithm is an extension of biased adaptive play to team Markov games defined over infinite state-spaces. We establish our method to coordinate with probability 1 in the optimal strategy and discuss how this methodology can be combined with approximate learning architectures. We conclude with two simple examples of application of our algorithm." @default.
• W2135684466 created "2016-06-24" @default.
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• W2135684466 date "2008-05-12" @default.
• W2135684466 modified "2023-10-18" @default.
• W2135684466 title "Emerging coordination in infinite team Markov games" @default.
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• W2135684466 doi "https://doi.org/10.5555/1402383.1402436" @default.
• W2135684466 hasPublicationYear "2008" @default.
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