A General Approach for Configuring PDDL Problem Models

Mauro Vallati, Ivan Serina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The development of a large number of domain-independent planners is leading to the use of planning engines in a wide range of applications. This is despite the complexity issues inherent in plan generation, which are exacerbated by the separation of planner logic from domain knowledge. However, this separation supports the use of reformulation and configuration techniques, which transform the model representation in order to improve the planner’s performance.
In this paper, we investigate how the performance of domain independent
planners can be improved by problem model configuration. We introduce a fully automated method for this configuration task, that considers problem-specific aspects extracted by exploiting a problem- and domain-independent
representation of the instance. Our extensive experimental analysis shows that this reformulation technique can have a significant impact on planners’ performance.
Original languageEnglish
Title of host publicationProceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS-18)
PublisherAAAI press
Pages431-435
Number of pages5
Volume2018-June
Publication statusPublished - 1 Jun 2018
Event28th International Conference on Automated Planning and Scheduling - Delft University of Technology, Delft, Netherlands
Duration: 24 Jun 201829 Jun 2018
Conference number: 28
http://icaps18.icaps-conference.org/ (Link to Conference Website)

Publication series

NameProceedings International Conference on Automated Planning and Scheduling, ICAPS
ISSN (Print)2334-0835

Conference

Conference28th International Conference on Automated Planning and Scheduling
Abbreviated titleICAPS 2018
CountryNetherlands
CityDelft
Period24/06/1829/06/18
Internet address

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  • Cite this

    Vallati, M., & Serina, I. (2018). A General Approach for Configuring PDDL Problem Models. In Proceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS-18) (Vol. 2018-June, pp. 431-435). (Proceedings International Conference on Automated Planning and Scheduling, ICAPS). AAAI press.