I am currently pursuing theoretical research in reinforcement learning, and broadly interested in topics related to theoretical machine learning and learning theory. I was a visiting student at Institute for Advanced Study and Simons Institute in Fall and Summer 2019. Before that, I worked at Microsoft for three years. I received a BS and MS in Mathematics and Computing from Indian Institute of Technology, Delhi (IITD) advised by Subiman Kundu.
Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes
with Alekh Agarwal, Sham Kakade and Jason Lee
Noise-tolerant, Reliable Active Classification with Comparison Queries
with Max Hopkins, Daniel Kane And Shachar Lovett