Agent Reinforcement Fine Tuning – Will Hang & Cathy Zhou, OpenAI
This talk introduces Agent Reinforcement Fine-Tuning (Agent RFT), a method for enhancing the performance of AI agents that interact with the outside world through tools. Agent RFT modifies model weights based on a specified learning signal, teaching the agent to distinguish between good and bad behavior. This process allows agents to explore various tool-calling strategies to solve tasks more effectively, leading to improved reasoning, lower latency, and better adaptation to specific business contexts.
17 min