{"type":"ScholarlyArticle","title":"Memory-Based Heuristics for Explicit State Spaces","authors":[{"name":"Nathan R. Sturtevant","slug":"nathan-r-sturtevant","given":"Nathan R.","family":"Sturtevant","affiliation":""},{"name":"Ariel Felner","slug":"ariel-felner","given":"Ariel","family":"Felner","affiliation":""},{"name":"Max Barer","slug":"max-barer","given":"Max","family":"Barer","affiliation":""},{"name":"Jonathan Schaeffer","slug":"jonathan-schaeffer","given":"Jonathan","family":"Schaeffer","affiliation":""},{"name":"Neil Burch","slug":"neil-burch","given":"Neil","family":"Burch","affiliation":""}],"abstract":"In many scenarios, quickly solving a relatively small search problem with an arbitrary start and arbitrary goal state is important (e.g., GPS navigation). In order to speed this process, we introduce a new class of memory-based heuristics, called true distance heuristics, that store true distances between some pairs of states in the original state space can be used for a heuristic between any pair of states. We provide a number of techniques for using and improving true distance heuristics such that most of the benefits of the all-pairs shortest-path computation can be gained with less than 1% of the memory. Experimental results on a number of domains show a 6-14 fold improvement in search speed compared to traditional heuristics.Nathan R. Sturtevant, Ariel Felner, Max Barrer, Jonathan Schaeffer, Neil Burch","doi":null,"url":"https://ijcai.org/proceedings/2009/107","pdf":"https://ijcai.org/proceedings/2009/0107.pdf","markdown":"https://ijcai.org/proceedings/2009/107.md","bibtex":"https://ijcai.org/proceedings/2009/bibtex/107","volume":{"slug":"2009","title":"Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2009","url":"https://ijcai.org/proceedings/2009/","year":2009,"location":"Pasadena, California, USA","dates":"","editors":"Hiroaki Kitano","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":107,"pages":{"first":609,"last":613},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}