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arXiv 1408.6799math.PRmath.OCq-fin.MF
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随机目标对策的随机Perron

Stochastic Perron for stochastic target games

Erhan Bayraktar, Jiaqi Li

摘要:

我们扩展了随机Perron方法来分析随机目标博弈的框架,其中一个玩家试图找到一个策略,使得无论另一个玩家选择哪个动作,状态过程几乎肯定会到达给定的目标。在此框架内,我们的方法产生的Hamilton-Jacobi-Bellman(HJB)方程的粘性子解(超解)。然后,我们将值函数表征为HJB方程的黏性解,使用比较结果和副产品来获得动态规划原理。

英文摘要:

We extend the stochastic Perron method to analyze the framework of stochastic target games, in which one player tries to find a strategy such that the state process almost surely reaches a given target no matter which action is chosen by the other player. Within this framework, our method produces a viscosity sub-solution (super-solution) of a Hamilton-Jacobi-Bellman (HJB) equation. We then characterize the value function as a viscosity solution to the HJB equation using a comparison result and a byproduct to obtain the dynamic programming principle.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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