Recursive Reasoning With Reduced Complexity and Intermittency for Nonequilibrium Learning in Stochastic Games.
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DOI: 10.1109/tnnls.2022.3151250
Abstract: In this article, we propose a computationally and communicationally efficient approach for decision-making in nonequilibrium stochastic games. In particular, due to the inherent complexity of computing Nash equilibria, as well as the innate tendency of… read more here.
Keywords: nonequilibrium; reasoning reduced; recursive reasoning; level ... See more keywords