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

机译:帕累托有效作弊在动态逆转Stackelberg游戏中:开环线性Q Uadratic Case

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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,即通过宣布他不会出发的策略。然而,如最近一篇论文的Vallee,Deissenberg和Basar所示,有利于领导者的一些作弊策略也可以提高Folloewer的回报,而其他人则恶化。在本文中,我们介绍了帕累托有益的作弊策略的概念,即作弊策略,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审议而没有作弊。我们推出了扩展的斯坦德离散时间线性二次动态逆转Stackelberg游戏的开放回路作弊策略,允许追随者作弊不利。给出了数值图。

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