Code and experimental data for the ECAI 2023 paper "PARIS: Planning Algorithms for Reconfiguring Independent Sets"
Creators
- 1. University of Basel
- 2. IBM T.J. Watson Research Center
- 3. Queen's University
- 4. Linköping University
Description
The archive chirsten-et-al-ecai2023-solvers contains the code necessary to generate the singularity images used in the experimental evaluation, except for CPLEX which is needed for some PARIS images. The solvers can be built using the build.sh script in the solver's sub-directory.
The archive christen-et-al-ecai2023-data contains all the scripts necessary to run the experiments
presented in the paper, as well as all the raw and processed data.
The archive christen-et-al-ecai2023-benchmarks contains all the benchmarks from the competition as well as our compiled PDDL and SAS+ versions, and the scripts used for the compilation.
For a detailed explanation, see the README file within the archives. For licensing information about the solvers, consult the LICENSE file within the solvers archive.