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Stackelberg equilibria for discrete-time dynamic games part I: Deterministic games

机译:离散时间动态博弈的Stackelberg平衡第一部分:确定性博弈

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We consider a two-person discrete-time dynamic game with the prespecified fixed duration. Each player maximizes her profit over the game horizon, taking decisions of the other player into account. Our goal is to find the Stackelberg equilibria for such a game. The solution approach differs with respect to the information available to individual players. While in the game with open-loop information structure the solution procedure is straightforward and already reported in the literature, the problem with the closed-loop problem information structure is difficult to solve, especially if twice differentiability of the leader's strategy is not imposed a priori. In this paper we focus on deterministic problems. We review classical optimization methods that can be used to solve the games with open-loop information structure. Additionally, we propose new methods for solving the games with the closed-loop information structure. Application of such methods is shown on specific examples. In the companion paper (Stackel-berg Equilibria for Discrete-Time Dynamic Games — Part II: Stochastic Games with Deterministic Information Structure) we will consider a stochastic variant of the problem.
机译:我们考虑一个具有预定固定持续时间的两人离散时间动态游戏。考虑到其他玩家的决策,每个玩家都可以在游戏范围内最大程度地提高自己的利润。我们的目标是找到这种游戏的Stackelberg平衡点。解决方案的方式在各个玩家可用的信息方面有所不同。尽管在具有开环信息结构的游戏中,解决过程很简单并且已经在文献中进行了报道,但是闭环问题信息结构的问题很难解决,尤其是如果领导者策略的两次可微性没有先验地施加的话。在本文中,我们关注确定性问题。我们回顾了经典的优化方法,这些方法可用于解决具有开环信息结构的游戏。此外,我们提出了使用闭环信息结构解决游戏的新方法。在特定示例中显示了此类方法的应用。在随附的论文(离散动态游戏的Stackel-berg均衡-第二部分:具有确定性信息结构的随机游戏)中,我们将考虑该问题的随机变体。

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