Published August 18, 2025 | Version v1

Code, Benchmarks and Data for the ECAI 2025 Paper "On Performance Guarantees for Symbolic Search in Classical Planning"

  • 1. ROR icon University of Basel

Description

This archive contains the code, benchmarks, and experimental data for the ECAI 2025 paper "On Performance Guarantees for Symbolic Search in Classical Planning".

Code

The files symk.zip and scorpion.zip contain the code of the different solvers. More information on building and running the solvers is available in the Readme files.

Latest version of SymK on GitHub: https://github.com/speckdavid/symk

Benchmarks

The file benchmarks.zip contains the benchmarks with conditional effects that we used for the empirical comparison.

Experiment Data

The remaining files (experiment-*.zip) contain the experiment scripts, raw and parsed data, and reports for the experiments described in the paper.

Files

benchmarks.zip

Files (1.2 GB)

Name Size
md5:0fb9766deda2d71341e241c990af8c14
28.5 MB Preview Download
md5:723984921b5a4c513e2efa9d851aa7cf
1.1 GB Preview Download
md5:a534fe05fa1240a4952155ac42d640fa
6.5 MB Preview Download
md5:09d414a98f556b48eb7102e5f0ebf90d
1.2 MB Preview Download
md5:ef3e1b11301f9a8bd3cdec7fe3fe90f9
6.1 MB Preview Download