On Different Strategies for Eliminating Redundant Actions from Plans

Lukáš Chrpa, Asma Kilani, Tomas Balyo

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

6 Citations (Scopus)


Satisficing planning engines are often able to generate plans in a reasonable time, however, plans are often far from optimal. Such plans often contain a high number of redundant actions, that are actions, which can be removed without affecting the validity of the plans. Existing approaches for determining and eliminating redundant actions work in polynomial time, however, do not guarantee eliminating the "best" set of redundant actions, since such a problem is NP-complete. We introduce an approach which encodes the problem of determining the "best" set of redundant actions (i.e. having the maximum total-cost) as a weighted MaxSAT problem. Moreover, we adapt the existing polynomial technique which greedily tries to eliminate an action and its dependants from the plan in order to eliminate more expensive redundant actions. The proposed approaches are empirically compared to existing approaches on plans generated by state-of-the-art planning engines on standard planning benchmarks.
Original languageEnglish
Title of host publicationProceedings of the Seventh Annual Symposium on Combinatorial Search
Subtitle of host publication(SoCs 2014)
EditorsStefan Edelkamp, Roman Bartak
Place of PublicationPrague
PublisherAAAI press
Number of pages9
ISBN (Print)9781577356769
Publication statusPublished - Sep 2014


Dive into the research topics of 'On Different Strategies for Eliminating Redundant Actions from Plans'. Together they form a unique fingerprint.

Cite this