Training Agents with Weakly Supervised Feedback from Large Language Models

Dihong Gong, Pu Lu, Zelong Wang +2

Large Language Models (LLMs) offer a promising basis for creating agents that can tackle complex tasks through iterative environmental interaction. Existing methods either require…