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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, 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 Fictitious Play 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 - O(1/(n~(1-δ))) for arbitrarily small δ. We also show an essentially matching upper bound of 1/2 - O(1).
机译:我们研究虚拟游戏的性能,将其用作启发式算法来寻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,表明虚拟游戏未能找到具有明显好于1/2的加法近似保证的解决方案。我们的构造表明,对于n×n的游戏,在最坏的情况下,两个玩家都可能永久采用混合策略,其收益未能达到最佳响应,且相加的数量为1/2-O(1 /(n〜(1-δ)) )任意小的δ。我们还显示了一个基本匹配的上限1/2-O(1 / n)。

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