@inproceedings{520c16e02f42475ab8ab91bfa0b1c1ff,
title = "Dynamic optimization of the strength ratio during a terrestrial conflict",
abstract = "The aim of this study is to assist a military decision maker during his decision-making process when applying tactics on the battlefield. For that, we have decided to model the conflict by a game, on which we will seek to find strategies guaranteeing to achieve given goals simultaneously defined in terms of attrition and tracking. The model relies multi-valued graphs, and leads us to solve a stochastic shortest path problem. The employed techniques refer to Temporal Differences methods but also use a heuristic qualification of system states to face algorithmic complexity issues.",
keywords = "Approximate dynamic programming, Decision aid, Game theory, Graph theory, Temporal differences methods, Viability theory",
author = "Alexandre Sztykgold and Gilles Coppin and Olivier Hudry",
year = "2007",
month = sep,
day = "25",
doi = "10.1109/ADPRL.2007.368194",
language = "English",
isbn = "1424407060",
series = "Proceedings of the 2007 IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning, ADPRL 2007",
pages = "241--246",
booktitle = "Proceedings of the 2007 IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning, ADPRL 2007",
note = "2007 IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning, ADPRL 2007 ; Conference date: 01-04-2007 Through 05-04-2007",
}