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Pareto efficient cheating in dynamic reversed stackelberg games: the open loop linear q uadratic case

机译:动态反向Stackelberg游戏中的帕累托有效作弊:开环线性q案例

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In a Dynamic Reversed Stackelberg game, the leader can typically improve his payoff by cheating, that is, by announcing a strategy that he will not follw. However, as shown by Vallee, Deissenberg, and Basar in a recent paper, it is possible that some of the cheating strategies that are beneficial for the leader also improve the payoff of the folloewer, while others deteriorate it. In this paper, we introduce the concept of a Pareto Beneficial Cheating strategy, that is, of a cheating strategy that leads to a Pareto efficient outcome and improves the s ituation of both the leader and the follower compared to the solution without cheating. We derive the open-loop Cheating Strategy for an extended strandard discrete time linear-quadratic Dynamic Reversed Stackelberg game allowing for the follower being cheating adverse. Numerical illustrations are given.
机译:在动态反向斯塔克尔伯格游戏中,领导者通常可以通过作弊来提高他的收益,即通过宣布他不会效仿的策略。但是,正如Vallee,Deissenberg和Basar在最近的一篇论文中所显示的那样,可能有一些有益于领导者的作弊策略也可以提高追随者的收益,而另一些则使追随者的利益恶化。在本文中,我们介绍了帕累托有益作弊策略的概念,即与不作弊的解决方案相比,可导致帕累托有效结果并改善领导者和追随者双方情况的作弊策略。我们导出了一个扩展的离散时间线性二次动态逆Stackelberg博弈的开环作弊策略,允许追随者作弊。给出了数字图示。

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