Développement autonome des comportements de base d'un agent
Identifieur interne : 005A88 ( Hal/Corpus ); précédent : 005A87; suivant : 005A89Développement autonome des comportements de base d'un agent
Auteurs : Alain Dutech ; Olivier Buffet ; François CharpilletSource :
Descripteurs français
Abstract
Nous travaillons à la conception d'agents devant faire face simultanément à plusieurs objectifs, ce qui s'avère difficile, même si chaque objectif est de faible complexité. Le présent article emploie un processus de sélection d'action existant, basé sur des comportements de base (architecture modulaire). Nous y proposons un algorithme de recherche des comportements de base requis via un apprentissage par renforcement incrémental. Cela mène à une architecture très autonome, ne nécessitant que peu de réglages.
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Hal:inria-00000574Le document en format XML
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Le présent article emploie un processus de sélection d'action existant, basé sur des comportements de base (architecture modulaire). Nous y proposons un algorithme de recherche des comportements de base requis via un apprentissage par renforcement incrémental. Cela mène à une architecture très autonome, ne nécessitant que peu de réglages.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="fr">Développement autonome des comportements de base d'un agent</title><author role="aut"><persName><forename type="first">Alain</forename><surname>Dutech</surname></persName><email>alain.dutech@loria.fr</email><idno type="idhal">alain-dutech</idno><idno type="halauthor">58830</idno><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Olivier</forename><surname>Buffet</surname></persName><email>olivier.buffet@anu.edu.au</email><idno type="idhal">olivier-buffet</idno><idno type="halauthor">64937</idno><affiliation ref="#struct-2355"></affiliation><affiliation ref="#struct-7753"></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">58657</idno><affiliation ref="#struct-2355"></affiliation></author><editor role="depositor"><persName><forename>Olivier</forename><surname>Buffet</surname></persName><email>olivier.buffet@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2005-11-03 23:10:47</date><date type="whenModified">2016-05-18 09:00:49</date><date type="whenReleased">2005-11-03 23:10:47</date><date type="whenProduced">2004-06-14</date></edition><respStmt><resp>contributor</resp><name key="103770"><persName><forename>Olivier</forename><surname>Buffet</surname></persName><email>olivier.buffet@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00000574</idno><idno type="halUri">https://hal.inria.fr/inria-00000574</idno><idno type="halBibtex">dutech:inria-00000574</idno><idno type="halRefHtml">Conférence d'Apprentissage (CAp'04), Jun 2004, Montpellier, France, 2004, Actes de la Conférence d'Apprentissage</idno><idno type="halRef">Conférence d'Apprentissage (CAp'04), Jun 2004, Montpellier, France, 2004, Actes de la Conférence d'Apprentissage</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="audience" n="1">Not set</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="fr">Développement autonome des comportements de base d'un agent</title><author role="aut"><persName><forename type="first">Alain</forename><surname>Dutech</surname></persName><email>alain.dutech@loria.fr</email><idno type="idHal">alain-dutech</idno><idno type="halAuthorId">58830</idno><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Olivier</forename><surname>Buffet</surname></persName><email>olivier.buffet@anu.edu.au</email><idno type="idHal">olivier-buffet</idno><idno type="halAuthorId">64937</idno><affiliation ref="#struct-2355"></affiliation><affiliation ref="#struct-7753"></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">58657</idno><affiliation ref="#struct-2355"></affiliation></author></analytic><monogr><meeting><title>Conférence d'Apprentissage (CAp'04)</title><date type="start">2004-06-14</date><settlement>Montpellier, France</settlement></meeting><imprint><biblScope unit="serie">Actes de la Conférence d'Apprentissage</biblScope><date type="datePub">2004-06-14</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term xml:lang="fr">processus de décision markoviens</term><term xml:lang="fr">apprentissage par renforcement</term><term xml:lang="fr">motivations multiples</term></keywords><classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="fr">Nous travaillons à la conception d'agents devant faire face simultanément à plusieurs objectifs, ce qui s'avère difficile, même si chaque objectif est de faible complexité. Le présent article emploie un processus de sélection d'action existant, basé sur des comportements de base (architecture modulaire). Nous y proposons un algorithme de recherche des comportements de base requis via un apprentissage par renforcement incrémental. Cela mène à une architecture très autonome, ne nécessitant que peu de réglages.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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