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Temporal landmarks: What must happen, and when

Erez Karpas, David Wang, Brian C. Williams, Patrik Haslum

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

Abstract

Current temporal planners have a hard time solving large, real-world problems which involve dealing with metric time and concurrent actions. While landmarks have enabled classical planners to scale up to significantly larger problems, they have not yet brought as much benefit to temporal planning. We argue that the reason for this is that for landmarks to make an effective addition to planning with complex temporal interactions (such as required concurrency), they must incorporate information about the timing of conditions and events. We define temporal landmarks, which associate time intervals and time points, respectively, with state and action landmarks, thereby capturing both what must happen and when it must happen. We show how to derive temporal landmarks and constraints on their associated time points from planning problems, and how exploiting them, in a planner-independent way, can improve planner performance. Notably, the greatest gain is on problems which require concurrency, showing that the temporal information we add to landmarks complements the reasoning used by current temporal planners.

Original languageEnglish
Title of host publicationICAPS 2015 - Proceedings of the 25th International Conference on Automated Planning and Scheduling
EditorsPatrik Haslum, Carmel Domshlak, Ronen Brafman, Shlomo Zilberstein
Pages138-146
Number of pages9
ISBN (Electronic)9781577357315
StatePublished - 2015
Externally publishedYes
Event25th International Conference on Automated Planning and Scheduling, ICAPS 2015 - Jerusalem, Israel
Duration: 7 Jun 201511 Jun 2015

Publication series

NameProceedings International Conference on Automated Planning and Scheduling, ICAPS
Volume2015-January

Conference

Conference25th International Conference on Automated Planning and Scheduling, ICAPS 2015
Country/TerritoryIsrael
CityJerusalem
Period7/06/1511/06/15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management

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