Code and experiment data for the IJCAI 2016 paper "Graph-Based Factorization of Classical Planning Problems"

This bundle contains code, data and benchmarks for reproducing all experiments reported in the paper.

wehrle-et-al-ijcai2016-code.zip contains the implementation based on Fast Downward and the benchmarks used in the experiments of the paper.

wehrle-et-al-ijcai2016-lab.zip contains a customized copy of Lab 1.10 (https://github.com/aibasel/lab)

wehrle-et-al-ijcai2016-scripts.zip contains experiment scripts compatible with Lab 1.10 for reproducing all experiments of the paper.

wehrle-et-al-ijcai2016-data.zip contains the experimental data. Unfortunately, we could only find the parsed data in form of the "properties" file, which contains a JSON directory with combined data of all runs of the corresponding experiment, but not the raw data.

Note on license: we chose GPL v3.0 or later mainly because we consider our implementation based on Fast Downward the main contribution of this package, and Fast Downward comes with GPL v3.0. We only include a copy of Lab and the benchmarks for convenience.