A Bayesian reinforcement learning approach in Markov games for computing near-optimal policies

DOI10.1007/s10472-023-09860-3zbMath1527.91013OpenAlexW4380153442MaRDI QIDQ6059222

Julio B. Clempner

Publication date: 2 November 2023

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-023-09860-3

zbMATH Keywords

reinforcement learningBayesian inferenceBayesian equilibriumMarkov games with private information

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Stochastic games, stochastic differential games (91A15) Games with incomplete information, Bayesian games (91A27)

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