{"type":"ScholarlyArticle","title":"Towards Scalable MDP Algorithms","authors":[{"name":"Andrey Kolobov","slug":"andrey-kolobov","given":"Andrey","family":"Kolobov","affiliation":""},{"name":"Mausam","slug":"mausam","given":"","family":"Mausam","affiliation":""},{"name":"Daniel S. Weld","slug":"daniel-s-weld","given":"Daniel S.","family":"Weld","affiliation":""}],"abstract":"The scalability of algorithms for solving Markov Decision Processes (MDPs) has been a limiting factor for MDPs as a modeling tool. This dissertation develops theoretical and empirical techniques for solving larger MDPs than was possible before, and aims to demonstrate the achieved progress by applying these new algorithms to a real-world problem.","doi":"10.5591/978-1-57735-516-8/IJCAI11-481","url":"https://ijcai.org/proceedings/2011/481","pdf":"https://ijcai.org/proceedings/2011/0481.pdf","markdown":"https://ijcai.org/proceedings/2011/481.md","bibtex":"https://ijcai.org/proceedings/2011/bibtex/481","volume":{"slug":"2011","title":"Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2011","url":"https://ijcai.org/proceedings/2011/","year":2011,"location":"Barcelona, Catalonia, Spain","dates":"16–22 July 2011","editors":"Toby Walsh","isbn":"978-1-57735-512-0; 978-1-57735-513-7; 978-1-57735-514-4; 978-1-57735-515-1; 978-1-57735-516-8","publisher":"AAAI Press/International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":481,"pages":{"first":2818,"last":2818},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}