Enhancing Decision-Making with Large Language Models through Reinforced Prompt Questions

The author proposes a comprehensive training framework that integrates human prior knowledge into action policy learning, leading to improved decision-making. By utilizing introspective prompts and CoT reasoning, the framework outperforms leading methods in various decision-making tasks.