Aditya Modi

Graduate Student, University of Michigan, Ann Arbor
Visiting Graduate Student
Dates of Visit: Aug. 19Dec. 18, 2020

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 B.Tech. in Computer Science and Engineering from IIT Kanpur in 2016.

Program Visits