Vallati, Mauro, Chrpa, Lukáš and McCluskey, T.L. (2017) Improving a planner’s performance through online heuristic configuration of domain models. In: Proceedings of the 10th International Symposium on Combinatorial Search (SoCS). AAAI Press, pp. 171-172. ISBN 978-1577357902
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Abstract
The separation of planner logic from domain knowledge supports the use of reformulation and configuration techniques, such as macro-actions and entanglements, which transform the model representation in order to improve a planner’s performance. One drawback of such an approach is that it may require a potentially expensive training phase.
In this paper, we introduce heuristic approaches for the online configuration of planning domain models. The proposed
heuristics consider different aspects of PDDL-encoded operators for reordering such operators in the domain model, relying on the assumption that the way in which operators are encoded carries useful information about their expected use
Item Type: | Book Chapter |
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Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Computer software |
Schools: | School of Computing and Engineering School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge |
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Depositing User: | Mauro Vallati |
Date Deposited: | 17 May 2017 10:55 |
Last Modified: | 28 Aug 2021 16:01 |
URI: | http://eprints.hud.ac.uk/id/eprint/31905 |
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