Bayesian opponent modeling in multiplayer imperfect-information games

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Improved learning efficiency of deep Monte-Carlo for complex imperfect-information card games

Q Luo, TP Tan - Applied Soft Computing, 2024 - Elsevier
Abstract Deep Reinforcement Learning (DRL) has achieved considerable success in games
involving perfect and imperfect information, such as Go, Texas Hold'em, Stratego, and …
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