A General Approach for Configuring PDDL Problem Models

Mauro Vallati; Ivan Serina

doi:10.1609/icaps.v28i1.13869

A General Approach for Configuring PDDL Problem Models

Mauro Vallati, Ivan Serina

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 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 language	English
Title of host publication	Proceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS-18)
Editors	Mathijs de Weerdt, Sven Koenig, Gabriele Röger, Matthijs Spaan
Publisher	AAAI press
Pages	431-435
Number of pages	5
Volume	2018-June
ISBN (Print)	9781577357971
DOIs	https://doi.org/10.1609/icaps.v28i1.13869
Publication status	Published - 15 Jun 2018
Event	28th International Conference on Automated Planning and Scheduling - Delft University of Technology, Delft, Netherlands Duration: 24 Jun 2018 → 29 Jun 2018 Conference number: 28 http://icaps18.icaps-conference.org/ (Link to Conference Website)

Publication series

Name	Proceedings International Conference on Automated Planning and Scheduling, ICAPS
Publisher	AAAI
ISSN (Print)	2334-0835
ISSN (Electronic)	2334-0843

Conference

Conference	28th International Conference on Automated Planning and Scheduling
Abbreviated title	ICAPS 2018
Country/Territory	Netherlands
City	Delft
Period	24/06/18 → 29/06/18
Internet address	http://icaps18.icaps-conference.org/ (Link to Conference Website)

Access to Document

10.1609/icaps.v28i1.13869Licence: Unspecified

Configuration of PDDL problem modelsAccepted author manuscript, 168 KBLicence: Unspecified

http://eprints.hud.ac.uk/id/eprint/34438/Licence: Unspecified

Cite this

Vallati, M., & Serina, I. (2018). A General Approach for Configuring PDDL Problem Models. In M. de Weerdt, S. Koenig, G. Röger, & M. Spaan (Eds.), 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. https://doi.org/10.1609/icaps.v28i1.13869

Vallati, Mauro ; Serina, Ivan. / A General Approach for Configuring PDDL Problem Models. Proceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS-18). editor / Mathijs de Weerdt ; Sven Koenig ; Gabriele Röger ; Matthijs Spaan. Vol. 2018-June AAAI press, 2018. pp. 431-435 (Proceedings International Conference on Automated Planning and Scheduling, ICAPS).

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title = "A General Approach for Configuring PDDL Problem Models",

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{\textquoteright}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{\textquoteright} performance.",

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Vallati, M & Serina, I 2018, A General Approach for Configuring PDDL Problem Models. in M de Weerdt, S Koenig, G Röger & M Spaan (eds), Proceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS-18). vol. 2018-June, Proceedings International Conference on Automated Planning and Scheduling, ICAPS, AAAI press, pp. 431-435, 28th International Conference on Automated Planning and Scheduling , Delft, Netherlands, 24/06/18. https://doi.org/10.1609/icaps.v28i1.13869

A General Approach for Configuring PDDL Problem Models. / Vallati, Mauro; Serina, Ivan.

Proceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS-18). ed. / Mathijs de Weerdt; Sven Koenig; Gabriele Röger; Matthijs Spaan. Vol. 2018-June AAAI press, 2018. p. 431-435 (Proceedings International Conference on Automated Planning and Scheduling, ICAPS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Vallati, Mauro

AU - Serina, Ivan

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PY - 2018/6/15

Y1 - 2018/6/15

N2 - 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.

AB - 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.

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KW - Automated Planning

KW - Knowledge Configuration

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SN - 9781577357971

VL - 2018-June

T3 - Proceedings International Conference on Automated Planning and Scheduling, ICAPS

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BT - Proceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS-18)

A2 - de Weerdt, Mathijs

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Vallati M, Serina I. A General Approach for Configuring PDDL Problem Models. In de Weerdt M, Koenig S, Röger G, Spaan M, editors, Proceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS-18). Vol. 2018-June. AAAI press. 2018. p. 431-435. (Proceedings International Conference on Automated Planning and Scheduling, ICAPS). doi: 10.1609/icaps.v28i1.13869

A General Approach for Configuring PDDL Problem Models

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