Published June 16, 2018 | Version v1
Software Open

Software used for the paper "Merge-and-Shrink Heuristics for Classical Planning: Efficient Implementation and Partial Abstractions"

  • 1. University of Basel

Description

This software bundle contains everything needed to reproduce the experiments of the paper. In particular, all files with "previous-vs-optimized-implementation" in their name belong to the first experiment of the paper, while those with "partial-abstractions" in their name belong to the second experiment of the paper. Files with "code" in their name contain Fast Downward source code. Files with "lab" in their name contain Downward-Lab source code. Files with "scripts" in their name contain all the Downward-Lab scripts used to run the experiments, which however would need to be adapted with respect to paths and import directives (and likely, more).

Files

Files (2.7 MB)

Name Size Download all
md5:f7c84c8832e6f44958b53e5fb2867a7a
993.4 kB Download
md5:4f715dc76ebc5abd2e3dad19b7fa2f4b
1.1 MB Download
md5:bf30a4799f0e4c44180306f36caf8a8e
299.3 kB Download
md5:7c8bd16bdd99d6c3be0cac415619d6e8
299.1 kB Download
md5:86e24a9408dbe86b7511a29122d32d3d
13.7 kB Download
md5:02a985662a8c3d52c4b90b847b7b45f8
12.4 kB Download

Additional details

References

  • Silvan Sievers. Merge-and-Shrink Heuristics for Classical Planning: Efficient Implementation and Partial Abstractions. SoCS 2018