On variable dependencies and compressed pattern databases

Malte Helmert, Nathan R. Sturtevant, Ariel Felner

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

Pattern databases are among the strongest known heuristics for many classical search benchmarks such as sliding-tile puzzles, the 4-peg Towers of Hanoi puzzles, Rubik’s Cube, and TopSpin. Min-compression is a generally applicable technique for augmenting pattern database heuristics that has led to marked experimental improvements in some settings, while being ineffective in others. We provide a theoretical explanation for these experimental phenomena by studying the interaction between the ranking function used to order abstract states in a pattern database, the compression scheme used to abstract states, and the dependencies between state variables in the problem representation.

Original languageEnglish
Pages129-133
Number of pages5
DOIs
StatePublished - 2017
Externally publishedYes
Event10th Annual Symposium on Combinatorial Search, SoCS 2017 - Pittsburgh, United States
Duration: 16 Jun 201717 Jun 2017

Conference

Conference10th Annual Symposium on Combinatorial Search, SoCS 2017
Country/TerritoryUnited States
CityPittsburgh
Period16/06/1717/06/17

Bibliographical note

Publisher Copyright:
Copyright c 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Funding

We thank the anonymous reviewers for their helpful comments. This work was supported by the Swiss National Science Foundation (SNSF) as part of the project “Reasoning about Plans and Heuristics for Planning and Combinatorial Search” (RAPAHPACS), by the National Science Foundation (NSF) under Grant No. 1551406 and by Israel Science Foundation (ISF) grant #417/13.

FundersFunder number
National Science Foundation1551406
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Israel Science Foundation417/13

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