Diverse and additive Cartesian abstraction heuristics

Seipp, Jendrik and Helmert, Malte. (2014) Diverse and additive Cartesian abstraction heuristics. In: Proceedings of the 24th International Conference on Automated Planning and Scheduling (ICAPS 2014): [held on June 21-26 in Portsmouth, New Hampshire, USA]. Palo Alto, Calif., pp. 289-297.

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Official URL: http://edoc.unibas.ch/dok/A6328941

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We have recently shown how counterexample-guided abstraction refinement can be used to derive informative Cartesian abstraction heuristics for optimal classical planning. In this work we introduce two methods for producing diverse sets of heuristics within this framework, one based on goal facts, the other based on landmarks. In order to sum the heuristic estimates admissibly we present a novel way of finding cost partitionings for explicitly represented abstraction heuristics. We show that the resulting heuristics outperform other state-of-the-art abstraction heuristics on many benchmark domains.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Artificial Intelligence (Helmert)
UniBasel Contributors:Seipp, Jendrik and Helmert, Malte
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:AAAI Press
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:19 Nov 2018 17:05
Deposited On:05 Jun 2015 08:52

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