Apprentissage de stratégies de coordination dans les hSMA
Identifieur interne : 006E38 ( Main/Exploration ); précédent : 006E37; suivant : 006E39Apprentissage de stratégies de coordination dans les hSMA
Auteurs : Romaric Charton [France] ; Anne Boyer [France] ; François Charpillet [France]Source :
English descriptors
- mix :
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.
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: 005679
- to stream Hal, to step Curation: 005679
- to stream Hal, to step Checkpoint: 004C49
- to stream Main, to step Merge: 007201
- to stream Main, to step Curation: 006E38
Le document en format XML
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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><author><name sortKey="Charpillet, Francois" sort="Charpillet, Francois" uniqKey="Charpillet F" first="François" last="Charpillet">François Charpillet</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-2355" status="OLD"><idno type="RNSR">200218290B</idno><orgName>Autonomous intelligent machine</orgName><orgName type="acronym">MAIA</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/maia</ref></desc><listRelation><relation active="#struct-160" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-300291" type="indirect"></relation><relation active="#struct-300292" type="indirect"></relation><relation active="#struct-300293" type="indirect"></relation><relation active="#struct-2496" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-160" type="direct"><org type="laboratory" xml:id="struct-160" status="OLD"><orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName><orgName type="acronym">LORIA</orgName><desc><address><addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.loria.fr</ref></desc><listRelation><relation name="UMR7503" active="#struct-441569" 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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="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><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="Charton, Romaric" sort="Charton, Romaric" uniqKey="Charton R" first="Romaric" last="Charton">Romaric Charton</name></region><name sortKey="Boyer, Anne" sort="Boyer, Anne" uniqKey="Boyer A" first="Anne" last="Boyer">Anne Boyer</name><name sortKey="Charpillet, Francois" sort="Charpillet, Francois" uniqKey="Charpillet F" first="François" last="Charpillet">François Charpillet</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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