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On Partial Satisfaction Planning with Total-Order HTNs
University of Amsterdam, Netherlands.
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5493-7363
IBM T.J. Watson Research Center, Yorktown Heights, USA.
IBM T.J. Watson Research Center, Yorktown Heights, USA.
2023 (English)In: Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS 2023), 2023, Vol. 33, p. 42-51Conference paper, Published paper (Refereed)
Abstract [en]

Since its introduction, partial satisfaction planning (PSP), including both oversubscription (OSP) and net-benefit, has received significant attention in the classical planning community. However, hierarchical aspects have been mostly ignored in this context, although several problem domains that form the main motivation for PSP, such as the rover domain, have an inherent hierarchical structure. In this paper, we are taking the necessary steps for facilitating this research direction. First, we formally define hierarchical partial satisfaction planning problems and discuss the usefulness and necessity of this formalism. Second, we present a carefully structured set of benchmarks consisting of OSP and net-benefit problems with hierarchical structure. We describe and analyze the different domains of the benchmark set and the desiderata that are met to provide an interesting and challenging starting point for upcoming research. Third, we introduce various planning techniques that can solve hierarchical OSP problems and investigate their empirical behaviour on our proposed benchmark.

Place, publisher, year, edition, pages
2023. Vol. 33, p. 42-51
Keywords [en]
Classical planning, Automated planning, Artificial Intelligence, WASP
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-196477OAI: oai:DiVA.org:liu-196477DiVA, id: diva2:1786251
Conference
33rd International Conference on Automated Planning and Scheduling (ICAPS 2023)
Funder
EU, Horizon 2020, 952215Available from: 2023-08-08 Created: 2023-08-08 Last updated: 2023-08-08

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https://ojs.aaai.org/index.php/ICAPS/article/view/27177

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Speck, David

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf