Planning for partial observability by SAT and graph constraints

Jussi Rintanen, Binda Pandey

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

10 Citations (Scopus)

Abstract

Chatterjee et al. have recently shown the utility of SAT in solving a class of planning problems with partial observability. A core component of their logical formulation of planning is constraints expressing s-t-reachability in directed graphs. In this work, we show that the scalability of the approach can be dramatically improved by using dedicated graph constraints, and that a far broader class of important planning problems can be expressed in terms of s-t-reachability and acyclicity constraints.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Automated Planning and Scheduling (ICAPS)
EditorsMathijs de Weerdt, Sven Koenig, Gabriele Röger, Matthijs Spaan
PublisherAAAI Press
Pages190-198
Number of pages9
ISBN (Electronic)978-1-57735-797-1
Publication statusPublished - 24 Jun 2018
MoE publication typeA4 Conference publication
EventInternational Conference on Automated Planning and Scheduling - Delft, Netherlands
Duration: 24 Jun 201829 Jun 2018
Conference number: 28

Publication series

NameProceedings of the International Conference on Automated Planning and Scheduling
PublisherAAAI PRESS
ISSN (Electronic)2334-0843

Conference

ConferenceInternational Conference on Automated Planning and Scheduling
Abbreviated titleICAPS
Country/TerritoryNetherlands
CityDelft
Period24/06/201829/06/2018

Keywords

  • SAT
  • planning
  • partial observability
  • graphs
  • constraints
  • acyclicity
  • reachability

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