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Pareto efficient cheating in dynamic reversed Stackelberg games: the open loop linear quadratic case

机译:Pareto高效作弊在动态逆转Stackelberg游戏中:开环线性二次案例

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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 follow. 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 follower, 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 situation of both the leader and the follower compared to the solution without cheating. We derive the open-loop Cheating Strategy for an extended standard discrete time linear-quadratic Dynamic Reversed Stackelberg game allowing for the follower being cheating adverse. Numerical illustrations are given.
机译:在一个动态逆转的Stackelberg游戏中,领导者通常可以通过作弊来提高他的回报,即通过宣布他不会遵循的策略。然而,如近期纸的Vallee,Deissenberg和Basar所示,有利于领导者的一些作弊策略也可以提高追随者的回报,而其他人则劣化。在本文中,我们介绍了帕累托有益的作弊策略的概念,即欺骗策略,导致帕累托有效的结果,并改善了与解决方案相比的领导者和追随者的情况而不作弊。我们推导出扩展标准离散时间线性 - 二次动态逆转Stackelberg游戏的开放回路作弊策略,允许跟随者作弊不利。给出了数值图。

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