Across three planning domains, LLMs perform better as comparative rankers of intermediate plans than as direct solvers or verifiers, and one-shot heuristic guidance improves ranking.
Reflexion: Language agents with verbal reinforcement learning
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Systematic Analysis of LLM Contributions to Planning: Solver, Verifier, Heuristic
Across three planning domains, LLMs perform better as comparative rankers of intermediate plans than as direct solvers or verifiers, and one-shot heuristic guidance improves ranking.