MAA*: Un algorithme de recherche heuristique pour la résolution exacte de DEC-POMDPs
Identifieur interne : 005A11 ( Main/Exploration ); précédent : 005A10; suivant : 005A12MAA*: Un algorithme de recherche heuristique pour la résolution exacte de DEC-POMDPs
Auteurs : Daniel Szer [France] ; François Charpillet [France] ; Shlomo Zilberstein [États-Unis]Source :
Abstract
Nous présentons ici MAA*, le premier algorithme de recherche heuristique à la fois complet et optimal pour résoudre des processus de décision markovien décentralisés (DEC-POMDPs) à horizon fini. Il permet de calculer des plans optimaux pour un groupe d'agents coopératifs dans un environnement stochastique et partiellement observable. La résolution de tels problèmes est particulièrement dur, mais permet d'aborder des domaines importants tels que le contrôle de robots autonomes. Notre approche consiste en une synthèse entre des méthodes de recherche heuristique et la théorie du contrôle décentralisé, et nous sommes capables de montrer qu'elle présente des avantages intéressants vis-à-vis des solutions existantes.
Url:
Affiliations:
- France, États-Unis
- Grand Est, Lorraine (région), Massachusetts
- Amherst (Massachusetts), Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine, Université du Massachusetts
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 006069
- to stream Hal, to step Curation: 006069
- to stream Hal, to step Checkpoint: 004646
- to stream Main, to step Merge: 005C55
- to stream Main, to step Curation: 005A11
Le document en format XML
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xml:id="struct-91189" status="VALID"><orgName>University of Massachusetts</orgName><orgName type="acronym">UMASS</orgName><desc><address><addrLine>300 Massachusetts Ave Amherst, MA 01002</addrLine><country key="US"></country></address><ref type="url">http://www.umass.edu/</ref></desc><listRelation><relation active="#struct-366239" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-366239" type="direct"><org type="institution" xml:id="struct-366239" status="INCOMING"><orgName>University of Massachusetts</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>États-Unis</country><placeName><settlement type="city">Amherst (Massachusetts)</settlement><region type="state">Massachusetts</region></placeName><orgName type="university">Université du Massachusetts</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">Nous présentons ici MAA*, le premier algorithme de recherche heuristique à la fois complet et optimal pour résoudre des processus de décision markovien décentralisés (DEC-POMDPs) à horizon fini. Il permet de calculer des plans optimaux pour un groupe d'agents coopératifs dans un environnement stochastique et partiellement observable. La résolution de tels problèmes est particulièrement dur, mais permet d'aborder des domaines importants tels que le contrôle de robots autonomes. Notre approche consiste en une synthèse entre des méthodes de recherche heuristique et la théorie du contrôle décentralisé, et nous sommes capables de montrer qu'elle présente des avantages intéressants vis-à-vis des solutions existantes.</div></front></TEI><affiliations><list><country><li>France</li><li>États-Unis</li></country><region><li>Grand Est</li><li>Lorraine (région)</li><li>Massachusetts</li></region><settlement><li>Amherst (Massachusetts)</li><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li><li>Université du Massachusetts</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Szer, Daniel" sort="Szer, Daniel" uniqKey="Szer D" first="Daniel" last="Szer">Daniel Szer</name></region><name sortKey="Charpillet, Francois" sort="Charpillet, Francois" uniqKey="Charpillet F" first="François" last="Charpillet">François Charpillet</name></country><country name="États-Unis"><region name="Massachusetts"><name sortKey="Zilberstein, Shlomo" sort="Zilberstein, Shlomo" uniqKey="Zilberstein S" first="Shlomo" last="Zilberstein">Shlomo Zilberstein</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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