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.
This work has been partially funded by the Spanish government MICINN TIN2008-06701-C03-01, Consolider-Ingenio 2010 CSD2007-00022 and Valencian Government Project Prometeo 2008/051.
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Marzal, E., Sebastia, L., Onaindia, E. (2011). Full Extraction of Landmarks in Propositional Planning Tasks. In: Pirrone, R., Sorbello, F. (eds) AI*IA 2011: Artificial Intelligence Around Man and Beyond. AI*IA 2011. Lecture Notes in Computer Science(), vol 6934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23954-0_35
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DOI: https://doi.org/10.1007/978-3-642-23954-0_35
Publisher Name: Springer, Berlin, Heidelberg
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