Yao-Hui Li (李耀辉)

I am a third-year Ph.D. student in the School of Computer Science and Technology at Beijing Institute of Technology (BIT), advised by Xin Li.

I received my master's degree from the College of Mathematics and Information Science at Hebei University, where I was advised by Feng Zhang. I was also a visiting scholar at the School of Mathematical and Computer Sciences, Heriot-Watt University, hosted by Wei Pang.

My research interests lie in deep reinforcement learning, robot learning, and embodied intelligence, with a particular focus on sample-efficient representation learning and model-based control. I am also interested in integrating vision-language-action (VLA) models with reinforcement learning to develop generalizable robotic policies that connect multimodal perception with decision-making and action.

Publications and preprints

Papers sorted by year. Representative papers are highlighted. * represents equal contributions.