Décomposition d'un processus décisionnel de Markov à l'aide d'un graphe
Identifieur interne : 00A084 ( Main/Curation ); précédent : 00A083; suivant : 00A085Décomposition d'un processus décisionnel de Markov à l'aide d'un graphe
Auteurs : Pierre Laroche [France] ; François Charpillet [France] ; René Schott [France]Source :
Descripteurs français
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Abstract
Les méthodes classiques de résolution de Problèmes Décisionnels de Markov sont trop complexes pour être utilisées pour résoudre des problèmes nécessitant un grand nombre d'états. Les techniques de décomposition sont donc très intéressantes dans ce cadre. Nous proposons une approche de décomposition originale, fondée sur la représentation de l'environnement par un graphe. Les coûts de passage d'une région à l'autre, d'une importance cruciale vis-à-vis de la qualité de la politique obtenue, sont examinés avec beaucoup de soin. Notre approche est très rapide, et donne des politiques quasi-optimales.
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Hal:inria-00099101Le document en format XML
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<profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>décomposition</term>
<term>markov decision process</term>
<term>planification sous incertitude</term>
<term>planning under uncertainty</term>
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<front><div type="abstract" xml:lang="fr">Les méthodes classiques de résolution de Problèmes Décisionnels de Markov sont trop complexes pour être utilisées pour résoudre des problèmes nécessitant un grand nombre d'états. Les techniques de décomposition sont donc très intéressantes dans ce cadre. Nous proposons une approche de décomposition originale, fondée sur la représentation de l'environnement par un graphe. Les coûts de passage d'une région à l'autre, d'une importance cruciale vis-à-vis de la qualité de la politique obtenue, sont examinés avec beaucoup de soin. Notre approche est très rapide, et donne des politiques quasi-optimales.</div>
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