Xiaoyu Tan

Categorical value learning can significantly enhance the performance of PPO critics in reinforcement learning, leading to better calibration and lower variance in advantage estimation.

LLMs can now produce trustworthy clinical diagnoses by explicitly justifying their reasoning steps, rivaling resource-intensive RL methods with a more stable and efficient training approach.