Automatic creation of pattern databases in planning

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10283334" target="_blank" >RIV/00216208:11320/14:10283334 - isvavai.cz</a>
Result on the web
<a href="http://artax.karlin.mff.cuni.cz/~bajel3am/itat2014/local/85_Trunda.pdf" target="_blank" >http://artax.karlin.mff.cuni.cz/~bajel3am/itat2014/local/85_Trunda.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Automatic creation of pattern databases in planning
Original language description
Heuristic-guided forward search is currently the leading approach to automated domain-independent planning. Many types of heuristics have been devised in the past and successfully used on various planning problems. These heuristics, however, often require some parameters to be set properly in order to achieve a good performance. As tuning these parameters automatically proved to be difficult, practitioners often require assistance of a human expert. Current research in the area focuses of utilizing meta-heuristics or machine learning techniques for this task. In this paper, we present the pattern database heuristic and two state-of-the-art techniques for tuning its parameters automatically based on meta-heuristics. We summarize the current methods andpropose several ways for further improvement.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 14th conference Information Technologies - Applications and Theory (ITAT 2014) - Workshops and Posters
ISBN
978-80-87136-19-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
85-92
Publisher name
Ústav informatiky AV ČR
Place of publication
Praha, Česká republika
Event location
Demänovská Dolina, Slovakia
Event date
Sep 25, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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