v2.0.0

Full Changelog: v1.2.2...v2.0.0

ECAI-25

Source code for and extended version of the ECAI-25 publication "Weisfeiler-Leman Features for Planning and Search: A 1,000,000 Sample Size Hyperparameter Study" by Dillon Z. Chen.

v1.2.2

Improved pretrained weights and documentation for pretrained weights

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What's Changed

• Improved weights and documentation by @DillonZChen in #21

Full Changelog: v1.2.1...v1.2.2

v1.2.1

Minor quality of life and planning improvements.

• Apptainer that can be installed and pretrained models for common benchmarks (IPC23LT and benchmarks from NeurIPS24 paper)
• Clearer model configuration files
• Change ranking formulation constants to always be 1 (from 0 for maybe pairs), following experiments by @u6684258
• Fix CI tests in GitHub Actions

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What's Changed

• Merge dev changes by @DillonZChen in #14
• 16 speed up data extraction for ranking by @DillonZChen in #19

Full Changelog: v1.1.1...v1.2.1

AAAI-24

Source code for the AAAI-24 publication "Learning Domain-Independent Heuristics for Grounded and Lifted Planning" by Dillon Z. Chen, Sylvie Thiébaux, and Felipe Trevizan

v1.1.1

Minor bug fixes.

• Numeric data collection no longer fails silently. The code now exits if an error with NFD occured.
• Update downward to version 24.06
• Add more instructions in the README.

v1.0.1

Clean re-implementation of GOOSE with the WLPlan package. New features include:

• support for classical grounded, classical lifted, and numeric planning
• new ranking formulations
• Apptainer image
• PCA visualisations of training data

Furthermore, support for GNNs is deprecated as they are inferior to WL learned heuristics. We refer to previous releases for GNN implementations.

NeurIPS-24

Source code for the NeurIPS-24 publication "Graph Learning for Numeric Planning" by Dillon Z. Chen and Sylvie Thiébaux

ICAPS-24

Source code for the ICAPS-24 publication "Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning" by Dillon Z. Chen, Felipe Trevizan, and Sylvie Thiébaux