{"type":"ScholarlyArticle","title":"Heuristic Subset Selection in Classical Planning","authors":[{"name":"Levi H. S. Lelis","slug":"levi-h-s-lelis","given":"Levi H. S.","family":"Lelis","affiliation":""},{"name":"Santiago Franco","slug":"santiago-franco","given":"Santiago","family":"Franco","affiliation":""},{"name":"Marvin Abisrror","slug":"marvin-abisrror","given":"Marvin","family":"Abisrror","affiliation":""},{"name":"Mike Barley","slug":"mike-barley","given":"Mike","family":"Barley","affiliation":""},{"name":"Sandra Zilles","slug":"sandra-zilles","given":"Sandra","family":"Zilles","affiliation":""},{"name":"Robert C. Holte","slug":"robert-c-holte","given":"Robert C.","family":"Holte","affiliation":""}],"abstract":"In this paper we present greedy methods for selecting a subset of heuristic functions for guiding A* search. Our methods are able to optimize various objective functions while selecting a subset from a pool of up to thousands of heuristics. Specifically, our methods minimize approximations of A*'s search tree size, and approximations of A*'s running time. We show empirically that our methods can outperform state-of-the-art planners for deterministic optimal planning.","doi":null,"url":"https://ijcai.org/proceedings/2016/451","pdf":"https://ijcai.org/proceedings/2016/0451.pdf","markdown":"https://ijcai.org/proceedings/2016/451.md","bibtex":"https://ijcai.org/proceedings/2016/bibtex/451","volume":{"slug":"2016","title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2016","url":"https://ijcai.org/proceedings/2016/","year":2016,"location":"New York, NY, USA","dates":"9–15 July 2016","editors":"Subbarao Kambhampati","isbn":"978-1-57735-770-4; 978-1-57735-771-1","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":451,"pages":{"first":3185,"last":3190},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}