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cloud.google.com·8h ago
AI Research
arXiv CS.AI·Sep 9·5 min read
Generating Instance Generators in PDDL Planning
TL;DR
A novel approach using large language models (LLMs) has been developed to automatically generate instance generators for PDDL planning, overcoming the limitations of manual and ad-hoc methods. This method ensures soundness and efficiency, producing diverse planning instances effectively.
✦ Why It Matters
Start using LLMs to automate instance generation in your PDDL planning projects for better efficiency and soundness.
Key Takeaways
- Implement LLMs for automated instance generation in PDDL.
- Ensure soundness with built-in checks in generated programs.
- Leverage the efficiency of LLMs to produce diverse planning instances.
- Transition from manual to automated instance generation to save time.
How It Works
The method employs large language models (LLMs) to generate instance-generation programs that define the constraints and requirements for valid planning instances. By incorporating soundness checks, the generated instances are guaranteed to meet the specified legality constraints, thus enhancing the reliability of the planning process.