Benson Jiang

Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance

Reinforcement Learning from Human Feedback (RLHF) is a methodology that aligns agent behavior with human preferences by integrating human feedback into the agent