Iterative Deployment Improves Planning Skills in LLMs

This research investigates how iterative deployment strategies can significantly enhance the planning capabilities of Large Language Models (LLMs). The paper presents novel approaches for refining LLM performance in sequential decision-making tasks, which is vital for real-world applications requiring complex reasoning.