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Heuristics and symmetries in classical planning

Shleyfman, Alexander and Katz, Michael and Helmert, Malte and Sievers, Silvan and Wehrle, Martin. (2015) Heuristics and symmetries in classical planning. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015) : January 25 –30, 2015, Austin, Texas, USA. Palo Alto, Calif., pp. 3371-3377.

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Official URL: http://edoc.unibas.ch/dok/A6373494

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Abstract

Heuristic search is a state-of-the-art approach to classical planning. Several heuristic families were developed over the years to automatically estimate goal distance information from problem descriptions. Orthogonally to the development of better heuristics, recent years have seen an increasing interest in symmetry-based state space pruning techniques that aim at reducing the search effort. However, little work has dealt with how the heuristics behave under symmetries. We investigate the symmetry properties of existing heuristics and reveal that many of them are invariant under symmetries.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Artificial Intelligence (Helmert)
UniBasel Contributors:Sievers, Silvan and Wehrle, Martin and Helmert, Malte
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Bibsysno:Link to catalogue
Publisher:AAAI Press
Note:Publication type according to Uni Basel Research Database: Conference paper
Language:English
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Last Modified:19 Nov 2018 15:55
Deposited On:05 Jun 2015 08:52

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