Tiancheng Yu (余天呈)

yutc [at] mit [dot] edu  

I am a 2nd-year PhD student in MIT EECS, advised by Prof. Suvrit Sra. Before MIT, I was an undergraduate student in Tsinghua University, major in Electronic Engineering and minor in Statistics.

From 2015 to 2018, I have been working at Institute of Information System, advised by Prof. Yuan Shen. In Fall 2016, I visited University of Wisconsin-Madison and worked at Department of Electrical and Computer Engineering, advised by Prof. Dimitris Papailiopoulos. In Summer 2017, I was fortunate enough to be selected into Stanford UGVR program and worked as a research assistant in Information Systems Laboratory, advised by Prof. Tsachy Weissman.

My research interests lie in theory of reinforcement learning, especially non-asymptotic regret analysis for tabular and approximation setting, non-stationary (adversarial) setting and policy gradient methods.