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Polynomial algorithms for approximating Nash equilibria of bimatrix games

机译:近似双矩阵博弈的纳什均衡的多项式算法

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We focus on the problem of computing an e-Nash equilibrium of a bimatrix game, when ε is an absolute constant. We present a simple algorithm for computing a 3/4-Nash equilibrium for any bimatrix game in strongly polynomial time and we next show how to extend this algorithm so as to obtain a (potentially stronger) parameterized approximation. Namely, we present an algorithm that computes a (2+λ)/4-Nash equilibrium, where λ is the minimum, among all Nash equilibria, expected payoff of either player. The suggested algorithm runs in time polynomial in the number of strategies available to the players.
机译:当ε是绝对常数时,我们集中于计算双矩阵博弈的e-Nash平衡的问题。我们提出了一种简单的算法,可以在强多项式时间内为任何双矩阵博弈计算3/4纳什均衡,接下来我们展示如何扩展该算法,以获得(可能更强的)参数化逼近。也就是说,我们提出了一种算法,该算法计算(2 +λ)/ 4-纳什均衡,其中λ是所有纳什均衡中任一参与者的预期收益中的最小值。所建议的算法在时间多项式上可以为玩家提供可用的策略数量。

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