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Competing with humans at fantasy football: Team formation in large partially-observable domains

Chalkiadakis Georgios, Tim Matthews, Sarvapali D. Ramchurn

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URIhttp://purl.tuc.gr/dl/dias/FEB49255-6D6A-430F-BC85-CB8CFD6AA608-
Identifierhttp://www.intelligence.tuc.gr/~gehalk/Papers/fantasyFootball2012cr.pdf-
Languageen-
Extent6 pagesen
TitleCompeting with humans at fantasy football: Team formation in large partially-observable domainsen
CreatorChalkiadakis Georgiosen
CreatorΧαλκιαδακης Γεωργιοςel
CreatorTim Matthewsen
CreatorSarvapali D. Ramchurnen
PublisherAssociation for the Advancement of Artificial Intelligenceen
Content SummaryWe present the first real-world benchmark for sequentially- optimal team formation, working within the framework of a class of online football prediction games known as Fantasy Football. We model the problem as a Bayesian reinforce- ment learning one, where the action space is exponential in the number of players and where the decision maker’s be- liefs are over multiple characteristics of each footballer. We then exploit domain knowledge to construct computationally tractable solution techniques in order to build a competitive automated Fantasy Football manager. Thus, we are able to es- tablish the baseline performance in this domain, even without complete information on footballers’ performances (accessi- ble to human managers), showing that our agent is able to rank at around the top percentile when pitched against 2.5M human players.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-09-30-
Date of Publication2012-
Bibliographic CitationT. Matthews , S. D. Ramchurn ,G. Chalkiadakis.(2012).Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains.Presented at the Twenty-Sixth Conference of the Association for the Advancement for Artificial Intelligence, Toronto, CA, 22 - 26 Jul 2012.[online]. Available: http://www.intelligence.tuc.gr/~gehalk/Papers/fantasyFootball2012cr.pdfen

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