TY - GEN
T1 - An LP-based heuristic for optimal planning
AU - Van Den Briel, Menkes
AU - Benton, J.
AU - Kambhampati, Subbarao
AU - Vossen, Thomas
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - One of the most successful approaches in automated planning is to use heuristic state-space search. A popular heuristic that is used by a number of state-space planners is based on relaxing the planning task by ignoring the delete effects of the actions. In several planning domains, however, this relaxation produces rather weak estimates to guide search effectively. We present a relaxation using (integer) linear programming that respects delete effects but ignores action ordering, which in a number of problems provides better distance estimates. Moreover, our approach can be used as an admissible heuristic for optimal planning.
AB - One of the most successful approaches in automated planning is to use heuristic state-space search. A popular heuristic that is used by a number of state-space planners is based on relaxing the planning task by ignoring the delete effects of the actions. In several planning domains, however, this relaxation produces rather weak estimates to guide search effectively. We present a relaxation using (integer) linear programming that respects delete effects but ignores action ordering, which in a number of problems provides better distance estimates. Moreover, our approach can be used as an admissible heuristic for optimal planning.
KW - Automated planning
KW - Improving admissible heuristics
KW - Optimal relaxed planning
UR - http://www.scopus.com/inward/record.url?scp=38149069722&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38149069722&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-74970-7_46
DO - 10.1007/978-3-540-74970-7_46
M3 - Conference contribution
AN - SCOPUS:38149069722
SN - 3540749691
SN - 9783540749691
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 651
EP - 665
BT - Principles and Practice of Constraint Programming - CP 2007 - 13th International Conference, CP 2007, Proceedings
PB - Springer Verlag
T2 - 13th International Conference on Principles and Practice of Constraint Programming, CP 2007
Y2 - 23 September 2007 through 27 September 2007
ER -