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LLMs Generate Instance Generators for PDDL Planning

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel method using Large Language Models (LLMs) to automatically generate instance-generation programs for PDDL planning. This approach aims to overcome the scalability limitations of previous reasoning and learning methods for creating planning instances. The generated programs include built-in soundness checks and have demonstrated the ability to efficiently produce a large number of diverse and valid instances. AI

IMPACT This research could improve the efficiency and scalability of generating planning instances, potentially benefiting AI planning systems.

RANK_REASON The cluster contains an academic paper detailing a new method for generating instance generators using LLMs for PDDL planning. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs Generate Instance Generators for PDDL Planning

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The cluster contains an academic paper detailing a new method for generating instance generators using LLMs for PDDL planning. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Nicola J. M\"uller, Naya Rudolph, Katharina Stein, J\"org Hoffmann, Ayal Taitler, Timo P. Gros ·

    Generating Instance Generators in PDDL Planning

    arXiv:2609.06071v1 Announce Type: new Abstract: PDDL, the de-facto standard language in the AI Planning community, is designed to specify planning domains: sets of instances that share the same predicates and action schemas. Yet it does not provide any means to specify the actual…

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