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A Complete framework for ambush avoidance in realistic environments

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arxiv 1408.6127 v1 pith:JRE7QVPV submitted 2014-08-26 cs.AI

classification cs.AI
keywords environmentsframeworkenvironmentcasualtiesgamegoaloutcomeplayer
verification ladder T0 review T1 audit T2 compute T3 formal
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Operating vehicles in adversarial environments between a recurring origin-destination pair requires new planning techniques. A two players zero-sum game is introduced. The goal of the first player is to minimize the expected casualties undergone by a convoy. The goal of the second player is to maximize this damage. The outcome of the game is obtained via a linear program that solves the corresponding minmax optimization problem over this outcome. Different environment models are defined in order to compute routing strategies over unstructured environments. To compare these methods for increasingly accurate representations of the environment, a grid-based model is chosen to represent the environment and the existence of a sufficient network size is highlighted. A global framework for the generation of realistic routing strategies between any two points is described. This framework requires a good assessment of the potential casualties at any location, therefore the most important parameters are identified. Finally the framework is tested on real world environments.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Contested Route Planning

    cs.GT 2025-08 reject novelty 4.0 of 10

    Contested route planning is cast as a zero-sum game and solved approximately by double oracle, with NP-hardness of exact play proved, but a flawed Red best-response reduction undermines the equilibrium claims.

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