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Pruning bad quality causal links in sequential satisfying planning

Celorrio, Sergio Jimenez; Haslum, Patrik; Thiebaux, Sylvie


Although current sequential satisficing planners are able to find solutions for a wide range of problems, the generation of good quality plans still remains a challenge. Anytime planners, which use the cost of the last plan found to prune the next search episodes, have shown useful to improve the quality of the solutions. With this in mind this paper proposes a method that exploits the solutions found by an anytime planner to improve the quality of the subsequent ones. The method extracts a set...[Show more]

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
Source: International Conference on Automated Planning & Scheduling
Access Rights: Open Access


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01_Celorrio_Pruning_bad_quality_causal_2013.pdf2.09 MBAdobe PDF
02_Celorrio_Pruning_bad_quality_causal_2013.pdf262.4 kBAdobe PDF

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