I am interested in the mathematical foundations of machine learning and AI. I focus on the design of provably efficient and practical algorithms that are relevant for a broad range of paradigms. My current interests include: i) AI alignment ii) NLP, reasoning, and deep learning iii) reinforcement learning. I enjoy collaborating with a diverse set of researchers to tackle these issues.


Reinforcement Learning: Theory and Algorithms

Alekh Agarwal, Nan Jiang, Wen Sun, and I are writing a monograph on Reinforcement Learning. We will be periodically making updates to the draft. Also, see current course CS 6789: Foundations of Reinforcement Learning.


Activities and Services