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Learning portfolios of automatically tuned planners

Seipp, Jendrik and Braun, Manuel and Garimort, Johannes and Helmert, Malte. (2012) Learning portfolios of automatically tuned planners. In: Proceedings of the 22nd International Conference on Automated Planning and Scheduling (ICAPS 2012). Atibaia, pp. 368-372.

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Official URL: http://edoc.unibas.ch/dok/A6043737

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Abstract

Portfolio planners and parameter tuning are two ideas that have recently attracted significant attention in the domain-independent planning community. We combine these two ideas and present a portfolio planner that runs automatically configured planners. We let the automatic parameter tuning framework ParamILS find fast configurations of the Fast Downward planning system for a number of planning domains. Afterwards we learn a portfolio of those planner configurations. Evaluation of our portfolio planner on the IPC 2011 domains shows that it has a significantly higher IPC score than the winner of the sequential satisficing track.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Artificial Intelligence (Helmert)
UniBasel Contributors:Helmert, Malte
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Bibsysno:Link to catalogue
Publisher:AAAI Press
Note:Publication type according to Uni Basel Research Database: Conference paper
Language:English
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Last Modified:19 Nov 2018 16:20
Deposited On:13 Sep 2013 07:57

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