{"type":"ScholarlyArticle","title":"Learning Hedonic Games","authors":[{"name":"Jakub Sliwinski","slug":"jakub-sliwinski","given":"Jakub","family":"Sliwinski","affiliation":"National University of Singapore"},{"name":"Yair Zick","slug":"yair-zick","given":"Yair","family":"Zick","affiliation":"National University of Singapore"}],"abstract":"Coalitional stability in hedonic games has usually been considered in the setting where agent preferences are fully known. We consider the setting where agent preferences are unknown; we lay the theoretical foundations for studying the interplay between coalitional stability and (PAC) learning in hedonic games. We introduce the notion of PAC stability - the equivalent of core stability under uncertainty - and examine the PAC stabilizability and learnability of several popular classes of hedonic games.","doi":"10.24963/ijcai.2017/380","url":"https://ijcai.org/proceedings/2017/380","pdf":"https://ijcai.org/proceedings/2017/0380.pdf","markdown":"https://ijcai.org/proceedings/2017/380.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/380","volume":{"slug":"2017","title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2017","url":"https://ijcai.org/proceedings/2017/","year":2017,"location":"Melbourne, Australia","dates":"19-25 August 2017","editors":"Carles Sierra","isbn":"978-0-9992411-0-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2017"},"section":"Machine Learning S-Z","track":"Main track","number":380,"pages":{"first":2730,"last":2736},"keywords":["Machine Learning: Learning Preferences or Rankings","Agent-based and Multi-agent Systems: Cooperative Games"],"videos":[],"references":[{"position":1,"raw":"[Alcalde and Revilla, 2004] J. 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