王纪龙 | Jilong(Jaylon) Wang

I am a researcher at Peking University - GALBOT Joint Lab and Center on Frontiers of Computing Studies (CFCS), directed by He Wang and Li Yi. I received my B.S. from UC Santa Cruz in 2023. I have previously interned at BAAI, SenseTime, Westlake University, and Tsinghua University, and have also participated in exchange programs at UC Berkeley and Shanghai Jiao Tong University.

Currently, my research focuses on combining Reinforcement Learning (RL)—a reward-driven trial-and-error learning approach—with Model Predictive Control (MPC)—a model-based real-time optimization method—to develop more robust and efficient control systems. Feel free to reach out if you’re interested in my work!