DillonZChen/wlplan
Relational Features for Planning
WLPlan helps researchers and practitioners in automated planning to analyze and understand complex planning problems. It takes in standard PDDL (Planning Domain Definition Language) problem descriptions and converts them into structured graph representations. From these graphs, it generates numerical feature embeddings that can be used for machine learning tasks, such as learning better planning heuristics. This tool is ideal for academic researchers and advanced AI practitioners working on improving AI planning systems.
Use this if you need to transform PDDL planning problems into a format suitable for machine learning algorithms to build or evaluate planning heuristics.
Not ideal if you are looking for a domain-independent planner or a tool to visualize planning solutions.
Stars
14
Forks
6
Language
C++
License
MIT
Category
Last pushed
Feb 18, 2026
Commits (30d)
0
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