Technical Report No. 268 - Abstract

Jendrik Seipp, Manuel Braun, Johannes Garimort and Malte Helmert:
Learning Portfolios of Automatically Tuned Planners: Detailed Results

This technical report provides additional experimental data for the paper Learning Portfolios of Automatically Tuned Planners, published at ICAPS 2012. 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.