BDDs strike back (in AI planning)

Stefan Edelkamp, Peter Kissmann, Álvaro Torralba

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

12 Citations (Scopus)

Abstract

The cost-optimal track of the international planning competition in 2014 has seen an unexpected outcome. Different to the precursing competition in 2011, where explicit-state heuristic search planning scored best, advances in the state-set exploration with BDDs showed a significant lead. In this paper we review the outcome of the competition, briefly looking into the internals of the competing systems.

Original languageEnglish
Title of host publicationProceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015
Number of pages2
PublisherThe Foundation for Open Access Statistics
Publication date1 Jun 2015
Pages4320-4321
ISBN (Electronic)9781577357049
Publication statusPublished - 1 Jun 2015
Externally publishedYes
Event29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015 - Austin, United States
Duration: 25 Jan 201530 Jan 2015

Conference

Conference29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015
Country/TerritoryUnited States
CityAustin
Period25/01/201530/01/2015
SponsorAI Journal, Association for the Advancement of Artificial Intelligence (AAAI), Baidu, et al., Infosys, National Science Foundation
SeriesProceedings of the National Conference on Artificial Intelligence
Volume6

Keywords

  • Planning and scheduling
  • Artificial Intelligence (AI)

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