Published May 22, 2022 | Version v1
Software Open

Code and data for the SOCS 2022 paper "On Bidirectional Heuristic Search in Classical Planning: An Analysis of BAE*"

  • 1. University of Freiburg
  • 2. Linköping University

Description

Code

The file hu-speck-socs2022-code.zip contains an extended version of the Fast Downward planning system (http://fast-downward.org), which can be used to perform A*, Backward A* and BAE*, and Symk (https://github.com/speckdavid/symk), which can be used to perform symbolic blind search. Please see http://www.fast-downward.org and https://github.com/speckdavid/symk for detailed instructions on how to compile the planners. The detailed calls for all configurations can be found in the file hu-speck-socs2022-reports.zip.

Benchmarks

The file hu-speck-socs2022-benchmarks.zip contains the STRIPS PDDL benchmarks from sequential optimization tracks of IPC 1998-2018.

Experiment data

The remaining zipfiles contain the raw experiment data, parsed values, scripts and basic reports for the experiments in the paper.

Notes

This research was partially supported by TAILOR, a project funded by the EU Horizon 2020 research and innovation programme under grant agreement no. 952215. David Speck was supported by the German Research Foundation (DFG) as part of the EPSDAC project (MA 7790/1-1).

Files

hu-speck-socs2022-benchmarks.zip

Files (1.5 GB)

Name Size Download all
md5:3580ac59caef7f700b02cf19bf278597
22.1 MB Preview Download
md5:27bca96dc5494eda730785313b04b326
5.1 MB Preview Download
md5:2067e749f4ce5b6290a8c81f54650376
1.4 GB Preview Download
md5:25ec4ae0d5671773621584e4bb6fb646
11.0 MB Preview Download
md5:cc98cba2e691fa2e4625662fc4a94e8b
32.1 kB Preview Download

Additional details

Funding

European Commission
TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization 952215