Yufei Xiang

Retrospex: Language Agent Meets Offline Reinforcement Learning Critic

Large language models (LLMs) possess extensive knowledge and commonsense reasoning capabilities, making them valuable for creating powerful agents. However, existing LLM agent frameworks have not fully utilized past experiences for improvement. This work introduces a new LLM-based agent framework ca…