Pruning bad quality causal links in sequential satisfying planning
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]
|Collections||ANU Research Publications|
|Source:||International Conference on Automated Planning & Scheduling|
|01_Celorrio_Pruning_bad_quality_causal_2013.pdf||2.09 MB||Adobe PDF||Request a copy|
|02_Celorrio_Pruning_bad_quality_causal_2013.pdf||262.4 kB||Adobe PDF||Request a copy|
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