Zhuoran Yang is a PhD candidate in the Department of Operations Research and Financial Engineering at Princeton University advised by Professor Jianqing Fan and Professor Han Liu. Prior to attending Princeton, he obtained a Bachelor of Mathematics degree from Tsinghua University.
His research interests lie in the interface between machine learning, statistics and optimization. The primary goal of his research is to design efficient learning algorithms for large-scale decision-making problems that arise in reinforcement learning and stochastic games, with both statistical and computational guarantees. In addition, he is also interested in the applications of reinforcement learning such as computer games and robotics.
- Theory of Reinforcement Learning, Fall 2020. Fellow.