Nan Jian is a machine learning researcher. His core research area is reinforcement learning (RL). He cares about the sample efficiency of RL, and uses ideas from statistical learning theory to analyze and develop RL algorithms. He is also interested in related areas such as online learning and dynamical system modeling.
- Theory of Reinforcement Learning, Fall 2020. Visiting Scientist.