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MemPlan: Memory-Conditioned PDDL Planning for Partially Observable Text Environments

arXiv:2610.30379v1 Announce Type: new Abstract: LLM agents are flexible in language interaction, but using them as long-horizon planners is costly and prone to hallucinated or invalid actions. This paper targets a different role for LLMs: constrained bridges between language and symbolic planning.…

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  1. 2026-10-24 04:00 · arXiv cs.CL
    MemPlan: Memory-Conditioned PDDL Planning for Partially Observable Text Environments

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