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Improving Hierarchical Planning Performance by the Use of Landmarks

  • Mohamed Elkawkagy*
  • , Pascal Bercher
  • , Bernd Schattenberg
  • , Susanne Biundo
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

29 Citations (Scopus)

Abstract

In hierarchical planning, landmarks are tasks that occur on every search path leading from the initial plan to a solution. In this work, we present novel domain-independent planning strategies based on such hierarchical landmarks. Our empirical evaluation on four benchmark domains shows that these landmark-aware strategies outperform established search strategies in many cases.

Original languageEnglish
Title of host publicationThe Twenty-Sixth AAAI Conference on Artificial Intelligence
Place of PublicationUSA
PublisherAAAI Press
Pages1763-1769
Number of pages7
Volume26
Edition1
ISBN (Electronic)978-1-57735-568-7
ISBN (Print)978-1-57735-568-7
DOIs
Publication statusPublished - 20 Sept 2012
Externally publishedYes
Event26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12 - Toronto, ON, Canada
Duration: 22 Jul 201226 Jul 2012

Publication series

NameProceedings of the AAAI Conference on Artificial Intelligence
PublisherAAAI Press
ISSN (Print)2159-5399
ISSN (Electronic)2374-3468

Conference

Conference26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12
Country/TerritoryCanada
CityToronto, ON
Period22/07/1226/07/12

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