Operator Mutexes and Symmetries for Simplifying Planning Tasks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332635" target="_blank" >RIV/68407700:21230/19:00332635 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1609/aaai.v33i01.33017586" target="_blank" >https://doi.org/10.1609/aaai.v33i01.33017586</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1609/aaai.v33i01.33017586" target="_blank" >10.1609/aaai.v33i01.33017586</a>
Alternative languages
Result language
angličtina
Original language name
Operator Mutexes and Symmetries for Simplifying Planning Tasks
Original language description
Simplifying classical planning tasks by removing operators while preserving at least one optimal solution can significantly enhance the performance of planners. In this paper, we introduce the notion of operator mutex, which is a set of operators that cannot all be part of the same (strongly) optimal plan. We propose four different methods for inference of operator mutexes and experimentally verify that they can be found in a sizable number of planning tasks. We show how operator mutexes can be used in combination with structural symmetries to safely remove operators from the planning task.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence
ISBN
978-1-57735-809-1
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
7586-7593
Publisher name
AAAI Press
Place of publication
Menlo Park
Event location
Honolulu
Event date
Jan 27, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000486572502015