An LP-based heuristic for optimal planning

被引：0
|
作者：
van den Briel, Menkes [1 ]
Benton, J. [2 ]
Kambhampati, Subbarao [2 ]
Vossen, Thomas [3 ]
机构：
[1] Arizona State Univ, Dept Ind Engn, Tempe, AZ 85287 USA
[2] Dept Comp Sci & Engn, Tempe, AZ 85287 USA
[3] Univ Colorado, Leeds Sch Business, Boulder, CO 80309 USA
来源：
PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING - CP 2007 | 2007年 / 4741卷
关键词：
automated planning; improving admissible heuristics; optimal relaxed planning;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：651 / +
页数：3
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