AAAI Publications, Twenty-Second International Conference on Automated Planning and Scheduling

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Learning Portfolios of Automatically Tuned Planners
Jendrik Seipp, Manuel Braun, Johannes Garimort, Malte Helmert

Last modified: 2012-05-14

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.

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