{"type":"ScholarlyArticle","title":"Continuous Time Planning for Multiagent Teams with Temporal Constraints","authors":[{"name":"Zhengyu Yin","slug":"zhengyu-yin","given":"Zhengyu","family":"Yin","affiliation":""},{"name":"Milind Tambe","slug":"milind-tambe","given":"Milind","family":"Tambe","affiliation":""}],"abstract":"Continuous state DEC-MDPs are critical for agent teams in domains involving resources such as time, but scaling them up is a significant challenge. To meet this challenge, we first introduce a novel continuous-time DEC-MDP model that exploits transition independence in domains with temporal constraints. Moreimportantly, we present a new locally optimal algorithm called SPAC. Compared to the best previous algorithm, SPAC finds solutions of comparable quality substantially faster; SPAC also scales to larger teams of agents.","doi":"10.5591/978-1-57735-516-8/IJCAI11-085","url":"https://ijcai.org/proceedings/2011/85","pdf":"https://ijcai.org/proceedings/2011/0085.pdf","markdown":"https://ijcai.org/proceedings/2011/85.md","bibtex":"https://ijcai.org/proceedings/2011/bibtex/85","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":85,"pages":{"first":465,"last":470},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}