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Iterative Game-theoretic Route Selection for Hostile Area Transit and Patrolling (Extended Abstract)

机译:敌对区过境和巡逻的迭代博弈论路线选择(扩展摘要)

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A number of real-world security scenarios can be cast as a problem of transiting an area patrolled by a mobile adversary, where the transiting agent aims to choose its route so as to minimize the probability of encountering the patrolling agent, and vice versa. We model this problem as a two-player zero-sum game on a graph, termed the transit game. In contrast to the existing models of area transit, where one of the players is stationary, we assume both players are mobile. We also explicitly model the limited endurance of the patroller and the notion of a base to which the patroller has to repeatedly return. Noting the prohibitive size of the strategy spaces of both players, we employ iterative oracle-based algorithms including a newly proposed accelerated scheme, to obtain optimum route selection strategies for both players. We evaluate the developed approach on a range of transit game instances inspired by real-world security problems in the urban and naval security domains.
机译:许多现实世界中的安全场景都可以看作是移动由移动对手巡逻的区域的问题,在这种情况下,迁移代理旨在选择其路线,从而最大程度地降低遇到巡逻代理的可能性,反之亦然。我们将此问题建模为在图表上的两人零和博弈,称为过境博弈。与现有的区域运输模型(其中一个参与者是固定的)相反,我们假设两个参与者都是可移动的。我们还明确建模了巡逻者的有限耐力以及巡逻者必须反复返回的基础概念。注意到两个参与者的策略空间的大小过大,因此我们采用了基于Oracle的迭代算法,其中包括新提出的加速方案,从而为两个参与者都获得了最佳的路线选择策略。我们在城市和海军安全领域中的现实安全问题的启发下,对一系列过境游戏实例的开发方法进行了评估。

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