{"type":"ScholarlyArticle","title":"Landmark-Based Heuristics and Search Control for Automated Planning (Extended Abstract)","authors":[{"name":"Silvia Richter","slug":"silvia-richter","given":"Silvia","family":"Richter","affiliation":""}],"abstract":"Automated planning is the process of automatically selecting actions that achieve a desired outcome. This paper summarises several contributions that improve the efficiency of automated planning via heuristic search. We discuss novel heuristics based on landmarks and a search algorithm for anytime planning. Furthermore, we analyse various search-enhancement techniques and show how the combination of these techniques lead to a planning system that proved highly successful in the 2008 and 2011 International Planning Competitions.","doi":null,"url":"https://ijcai.org/proceedings/2013/470","pdf":"https://ijcai.org/proceedings/2013/0470.pdf","markdown":"https://ijcai.org/proceedings/2013/470.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/470","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":470,"pages":{"first":3126,"last":3129},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}