Published March 21, 2022 | Version v1
Conference paper Open

Code and experiment data from the ICAPS 2022 paper "Best-First Width Search for Lifted Classical Planning"

  • 1. University of Basel
  • 2. Linköping University


Source code used in the experiments from the paper "Best-First Width Search for Lifted Classical Planning" (Corrêa and Seipp ICAPS 2022). There are three different files:

1. The zip file "" contains the source code directory, a Python script to run the lifted planner, a Singularity script to generate the planner image, and a README file explaining the usage of the planner and the scripts.

2. The file "" contain all scripts used for the experiments.

3. The file "" contains all the raw data from the experiments.


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Additional details


Certified Correctness and Guaranteed Performance for Domain-Independent Planning (CCGP-Plan) 200021_182107
Swiss National Science Foundation
TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization 952215
European Commission