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On the approximation performance of fictitious play in finite games

机译:有限游戏中虚拟游戏的逼近性能

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We study the performance of Fictitious Play (FP), when used as a heuristic for finding an approximate Nash equilibrium of a two-player game. We exhibit a class of two-player games having payoffs in the range [0, 1] that show that FP fails to find a solution having an additive approximation guarantee significantly better than 1/2. Our construction shows that for n × n games, in the worst case both players may perpetually have mixed strategies whose payoffs fall short of the best response by an additive quantity 1/2 - 0(1 ~(1-δ)) for arbitrarily small S. We also show an essentially matching upper bound of 1/2 - O(1).
机译:我们研究了虚拟玩法(FP)的性能,该算法用作启发式算法来查找两人游戏的近似纳什均衡。我们展示了一类两人游戏,其收益在[0,1]范围内,这表明FP无法找到具有明显优于1/2的加法近似保证的解决方案。我们的结构表明,对于n×n个游戏,在最坏的情况下,两个玩家都可能永久采用混合策略,其收益低于最佳响应,且相加的数量为1/2-0(1 / n〜(1-δ)),即任意小的S。我们还显示了一个基本匹配的上限1/2-O(1 / n)。

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