Yancheng Liang

My research interest lies in exploring the unique intelligence that emerges from collective/social behaviors such as cooperation, adaptation, imitation, teaching, confrontation and so on. I am particularly focused on applying machine learning techniques—especially reinforcement learning—to study such multi-agent systems. This also involves leveraging tools from game theory, theoretical aspects of reinforcement learning, agent modeling, and analytical models derived from social sciences.

I am currently pursuing a Ph.D. at University of Washington, CSE, co-advised by Simon Shaolei Du and Natasha Jaques. Before that, I completed my undergraduate studies at Tsinghua University, Institute for Interdisciplinary Information Sciences (Yao Class), guided by Yi Wu.