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) reinforcement learning and controls ii) representation (and deep) learning and iii) natural language processing and memory. 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