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.
- Theory of Reinforcement Learning, Fall 2020. Visiting Graduate Student.