Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

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

Chalkiadakis Georgios, Tim Matthews, Sarvapali D. Ramchurn

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/FEB49255-6D6A-430F-BC85-CB8CFD6AA608-
Αναγνωριστικόhttp://www.intelligence.tuc.gr/~gehalk/Papers/fantasyFootball2012cr.pdf-
Γλώσσαen-
Μέγεθος6 pagesen
ΤίτλοςCompeting with humans at fantasy football: Team formation in large partially-observable domainsen
ΔημιουργόςChalkiadakis Georgiosen
ΔημιουργόςΧαλκιαδακης Γεωργιοςel
ΔημιουργόςTim Matthewsen
ΔημιουργόςSarvapali D. Ramchurnen
ΕκδότηςAssociation for the Advancement of Artificial Intelligenceen
ΠερίληψηWe 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
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-09-30-
Ημερομηνία Δημοσίευσης2012-
Βιβλιογραφική ΑναφοράT. 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

Υπηρεσίες

Στατιστικά