Off-policy synchronous iteration IRL method for multi-player zero-sum games with input constraints
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DOI: 10.1016/j.neucom.2019.10.075
Abstract: Abstract In this paper, a novel synchronous off-policy method is given to solve multi-player zero-sum (ZS) game under the condition that the knowledge of system data are completely unknown, the actuators of controls are constrained… read more here.
Keywords: player zero; multi player; policy; zero sum ... See more keywords
An LP Approach for Solving Two-Player Zero-Sum Repeated Bayesian Games
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DOI: 10.1109/tac.2018.2885644
Abstract: This paper studies two-player zero-sum repeated Bayesian games in which every player has a private type that is unknown to the other player, and the initial probability of the type of every player is publicly… read more here.
Keywords: strategy; player; player zero; security ... See more keywords
A Generalized Minimax Q-learning Algorithm for Two-Player Zero-Sum Stochastic Games
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DOI: 10.1109/tac.2022.3159453
Abstract: We consider the problem of two-player zero-sum games. This problem is formulated as a min-max Markov game in the literature. The solution of this game, which is the min-max payoff, starting from a given state… read more here.
Keywords: minimax learning; zero sum; player zero; generalized minimax ... See more keywords