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

Description

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 "correa-seipp-icaps2022-code.zip" 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 "scripts.zip" contain all scripts used for the experiments.

3. The file "experiment-data-lifted-bfws.zip" contains all the raw data from the experiments.

Files

correa-seipp-icaps2022-code.zip

Files (1.4 GB)

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md5:e1fc8b8b6dc8ed3d105f8b5a4fe52d75
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Additional details

Funding

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