Landmark-Based Heuristics and Search Control for Automated Planning (Extended Abstract)
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 3126-3129.
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.
@inproceedings{ijcai2013p470,
title = {Landmark-Based Heuristics and Search Control for Automated Planning (Extended Abstract)},
author = {Richter, Silvia},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {3126--3129},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/470},
}
TY - CPAPER TI - Landmark-Based Heuristics and Search Control for Automated Planning (Extended Abstract) AU - Richter, Silvia T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 3126 EP - 3129 UR - https://ijcai.org/proceedings/2013/470 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
