Full extraction of landmarks in propositional planning tasks

Authors:
Eliseo Marzal;Laura Sebastia;Eva Onaindia
Affiliations:
Universitat Politècnica de València, Spain;Universitat Politècnica de València, Spain;Universitat Politècnica de València, Spain
Venue:
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Year:
2011

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Abstract

One can find in the literature several approaches aimed at finding landmarks and orderings, each claiming to obtain an improvement over the first original approach. In this paper we propose a complementary view to landmarks exploitation that combines the advantages of each approach and come up with a novel technique that outperforms each individual method.