Operator Pruning using Lifted Mutex Groups via Compilation on Lifted Level

Daniel Fišer*

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

A lifted mutex group is a schematic first-order description of sets of facts such that each set contains facts out of which at most one can hold in any reachable state. It was previously shown that lifted mutex groups can be used for pruning of operators during grounding of PDDL tasks, i.e., it is possible to prune unreachable and dead-end operators even before the grounded representation is known. Here, we show that applying such a pruning technique does not require a modification of the grounding procedure. Instead, it is possible to compile the conditions under which we can use lifted mutex groups to prune operators directly into the preconditions of lifted actions on the PDDL level. In fact, we show that such compilation captures the pruning power of lifted mutex groups perfectly.

Original languageEnglish
Title of host publicationProceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, ICAPS-23
Number of pages10
Publication date2023
Pages118-127
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event33rd International Conference on Automated Planning and Scheduling, ICAPS 2023 - Prague, Czech Republic
Duration: 8 Jul 202313 Jul 2023

Conference

Conference33rd International Conference on Automated Planning and Scheduling, ICAPS 2023
Country/TerritoryCzech Republic
CityPrague
Period08/07/202313/07/2023

Bibliographical note

Publisher Copyright:
Copyright © 2023, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

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