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   Articles with "player zero" as a keyword



Off-policy synchronous iteration IRL method for multi-player zero-sum games with input constraints

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recommendations! Published in 2020 at "Neurocomputing"

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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recommendations! Published in 2019 at "IEEE Transactions on Automatic Control"

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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recommendations! Published in 2022 at "IEEE Transactions on Automatic Control"

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

Efficient Parallel Design for Self-Play in Two-Player Zero-Sum Games

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recommendations! Published in 2025 at "Symmetry"

DOI: 10.3390/sym17020250

Abstract: Self-play methods have achieved remarkable success in two-player zero-sum games, attaining superhuman performance in many complex game domains. Parallelizing learners is a feasible approach to handle complex games. However, parallelizing learners often leads to the… read more here.

Keywords: zero sum; two player; player zero; self play ... See more keywords