Tiancheng Yu (余天呈)

yutc [at] mit [dot] edu  

I am a 3rd-year PhD student in MIT EECS, advised by Prof. Suvrit Sra. I got my Master's degree in EECS at MIT in 2020. Before MIT, I was an undergraduate student in Tsinghua University, major in Electronic Engineering and minor in Statistics. I was fortunate to be advised by Prof. Yuan Shen.

In Fall 2019, I visited Princeton Univerisity and worked with Prof. Chi Jin. In Summer 2017, I was fortunate to join Stanford UGVR program and advised by Prof. Tsachy Weissman. In Fall 2016, I was an exchange student in University of Wisconsin-Madison and worked with Prof. Dimitris Papailiopoulos.

My research interests lie in the theory of reinforcement learning, especially sample efficiency, robustness and function approximation. I am TAing 6.246 Reinforcement Learning: Foundations And Methods this semester (Spring 2021).

Selected Publications

*: equal contribution or alphabetical order.