Apprentissage de stratégies de coordination dans les hSMA
Identifieur interne : 004C49 ( Hal/Checkpoint ); précédent : 004C48; suivant : 004C50Apprentissage de stratégies de coordination dans les hSMA
Auteurs : Romaric Charton [France] ; Anne Boyer [France] ; François Charpillet [France]Source :
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Abstract
La coordination des interactions d'un ensemble d'agents hétérogène (hSMA) est encore un problème ouvert, en particulier lorsque certains agents sont des humains. Nous proposons une méthode à base d'apprentissage par renforcement (A/R) sur des processus de décision markoviens (MDP) pour contrôler les interactions qui se déroulent lors de la fourniture de services de communication multimédia. Cet article décrit une spécification d'agent coordinateur pour les services de recherche d'informations ainsi que le prototype et les expérimentations que nous avons réalisés.
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Hal:inria-00100214Le document en format XML
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active="#struct-300291" type="indirect"><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="indirect"><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="indirect"><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><tutelle active="#struct-2496" type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></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="en"><term>apprentissage par renforcement</term><term>coordination</term><term>heterogeneous multiagent systems</term><term>markov decision process</term><term>processus de décision markovien</term><term>reinforcement learning</term><term>système multi-agent hétérogène</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">La coordination des interactions d'un ensemble d'agents hétérogène (hSMA) est encore un problème ouvert, en particulier lorsque certains agents sont des humains. Nous proposons une méthode à base d'apprentissage par renforcement (A/R) sur des processus de décision markoviens (MDP) pour contrôler les interactions qui se déroulent lors de la fourniture de services de communication multimédia. Cet article décrit une spécification d'agent coordinateur pour les services de recherche d'informations ainsi que le prototype et les expérimentations que nous avons réalisés.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="fr">Apprentissage de stratégies de coordination dans les hSMA</title><author role="aut"><persName><forename type="first">Romaric</forename><surname>Charton</surname></persName><email>Romaric.Charton@loria.fr</email><idno type="halauthor">130801</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Anne</forename><surname>Boyer</surname></persName><email>anne.boyer@loria.fr</email><idno type="halauthor">136145</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">François</forename><surname>Charpillet</surname></persName><email>francois.charpillet@loria.fr</email><idno type="idhal">francois-charpillet</idno><idno type="halauthor">129571</idno><orgName ref="#struct-300009"></orgName><affiliation ref="#struct-2355"></affiliation></author><editor role="depositor"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-09-26 10:15:38</date><date type="whenModified">2016-05-18 08:56:40</date><date type="whenReleased">2006-09-28 15:22:47</date><date type="whenProduced">2004</date></edition><respStmt><resp>contributor</resp><name key="108626"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00100214</idno><idno type="halUri">https://hal.inria.fr/inria-00100214</idno><idno type="halBibtex">charton:inria-00100214</idno><idno type="halRefHtml">[Interne] A04-R-043 || charton04a, 2004, 25 p</idno><idno type="halRef">[Interne] A04-R-043 || charton04a, 2004, 25 p</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="commentary">Rapport interne.</note><note type="audience" n="0">Not set</note><note type="report" n="3">Intern report</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="fr">Apprentissage de stratégies de coordination dans les hSMA</title><author role="aut"><persName><forename type="first">Romaric</forename><surname>Charton</surname></persName><email>Romaric.Charton@loria.fr</email><idno type="halAuthorId">130801</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Anne</forename><surname>Boyer</surname></persName><email>anne.boyer@loria.fr</email><idno type="halAuthorId">136145</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">François</forename><surname>Charpillet</surname></persName><email>francois.charpillet@loria.fr</email><idno type="idHal">francois-charpillet</idno><idno type="halAuthorId">129571</idno><orgName ref="#struct-300009"></orgName><affiliation ref="#struct-2355"></affiliation></author></analytic><monogr><idno type="reportNumber">A04-R-043 || charton04a</idno><imprint><biblScope unit="pp">25 p</biblScope><date type="datePub">2004</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">heterogeneous multiagent systems</term><term xml:lang="en">coordination</term><term xml:lang="en">reinforcement learning</term><term xml:lang="en">markov decision process</term><term xml:lang="en">apprentissage par renforcement</term><term xml:lang="en">processus de décision markovien</term><term xml:lang="en">système multi-agent hétérogène</term></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="REPORT">Reports</classCode></textClass><abstract xml:lang="fr">La coordination des interactions d'un ensemble d'agents hétérogène (hSMA) est encore un problème ouvert, en particulier lorsque certains agents sont des humains. Nous proposons une méthode à base d'apprentissage par renforcement (A/R) sur des processus de décision markoviens (MDP) pour contrôler les interactions qui se déroulent lors de la fourniture de services de communication multimédia. Cet article décrit une spécification d'agent coordinateur pour les services de recherche d'informations ainsi que le prototype et les expérimentations que nous avons réalisés.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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