Yulei Qin

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

Geometry-aware dataset condensation can dramatically enhance the fidelity of diffusion models, preserving essential distributional characteristics that traditional methods overlook.