AAAI Publications, Twenty-Fifth AAAI Conference on Artificial Intelligence

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A Novel Technique for Avoiding Plateaus of Greedy Best-First Search in Satisficing Planning
Tatsuya Imai, Akihiro Kishimoto

Last modified: 2011-08-04

Abstract


Greedy best-first search (GBFS) is a popular and effective algorithm in satisficing planning and is incorporated into high-performance planners. GBFS in planning decides its search direction with automatically generated heuristic functions. However, if the heuristic functions evaluate nodes inaccurately, GBFS may be misled into a valueless search direction, thus resulting in performance degradation. This paper presents a simple but effective algorithm considering a diversity of search directions to avoid the errors of heuristic information. Experimental results in solving a variety of planning problems show that our approach is successful.

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