Décomposition d'un processus décisionnel de Markov à l'aide d'un graphe
Identifieur interne : 00A084 ( Main/Exploration ); 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
- mix :
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.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 005A44
- to stream Hal, to step Curation: 005A44
- to stream Hal, to step Checkpoint: 006090
- to stream Main, to step Merge: 00A724
- to stream Main, to step Curation: 00A084
Le document en format XML
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type="direct"></relation><relation active="#struct-300293" type="direct"></relation></listRelation><tutelles><tutelle name="UMR7503" active="#struct-441569" type="direct"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle><tutelle active="#struct-300009" type="direct"><org type="institution" xml:id="struct-300009" status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName><orgName type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-300291" type="direct"><org type="institution" xml:id="struct-300291" status="OLD"><orgName>Université Henri Poincaré - Nancy 1</orgName><orgName type="acronym">UHP</orgName><date type="end">2011-12-31</date><desc><address><addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="direct"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="direct"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><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><term>processus décisionnels de markov</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Laroche, Pierre" sort="Laroche, Pierre" uniqKey="Laroche P" first="Pierre" last="Laroche">Pierre Laroche</name></region><name sortKey="Charpillet, Francois" sort="Charpillet, Francois" uniqKey="Charpillet F" first="François" last="Charpillet">François Charpillet</name><name sortKey="Schott, Rene" sort="Schott, Rene" uniqKey="Schott R" first="René" last="Schott">René Schott</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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