Aditya Modi

Graduate Student, University of Michigan, Ann Arbor

Aditya Modi is a PhD candidate at University of Michigan, advised by Satinder Singh and Ambuj Tewari. His research interests lie in theoretical aspects of reinforcement learning with a focus on efficient exploration and sample complexity analyses. Additionally, he has an active interest in real-world applications of reinforcement learning. Before coming to Michigan, he received his BTech in computer science and engineering from IIT Kanpur in 2016.

Program Visits

Theory of Reinforcement Learning, Fall 2020, Visiting Graduate Student