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Mean field equilibrium in dynamic games with complementarities

机译:具有互补性的动态博弈中的平均场平衡

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We study stochastic dynamic games with a large number of players, where players are coupled via their payoff functions. We consider mean field equilibrium for such games: in such an equilibrium, each player reacts to only the long run average state of other players. In this paper we focus on a special class of stochastic games, where a player experiences strategic complementarities from other players; formally the payoff of a player has increasing differences between her own state and the aggregate empirical distribution of the states of other players. We find necessary conditions for the existence of a mean field equilibrium in such games. Furthermore, as a simple consequence of this existence theorem, we obtain several natural monotonicity properties. We show that there exist a “largest” and “smallest” equilibrium among all those where the equilibrium strategy used by a player is nondecreasing. We also show that natural best response dynamics converge to each of these equilibria.
机译:我们研究具有大量玩家的随机动态游戏,其中玩家通过其支付功能进行耦合。我们考虑此类游戏的平均场均衡:在这种均衡中,每个玩家仅对其他玩家的长期平均状态做出反应。在本文中,我们专注于一类特殊的随机游戏,其中玩家经历与其他玩家的战略互补。正式而言,一个玩家的收益在其自己的状态与其他玩家的状态的总经验分布之间的差异越来越大。我们发现此类博弈中存在平均场均衡的必要条件。此外,作为该存在性定理的简单结果,我们获得了几种自然单调性。我们证明,在所有参与者使用的均衡策略不减少的均衡中,都有一个“最大”和“最小”的均衡。我们还表明,自然的最佳响应动力学收敛于这些平衡中的每一个。

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