I teach Machine Learning and Artificial Intelligence at Catz.
I am currently a Postdoctoral Researcher in Whiteson Research Lab at University of Oxford, advised by Shimon Whiteson. Prior to joining the University of Oxford, I did a post-graduate internship in the Reinforcement Learning Group at Microsoft Research in Redmond, USA. I received my doctorate from the School of Electrical Engineering and Computer Science at Washington State University in 2018, after working for five years at the Intelligent Robot Learning Lab with my advisor Matthew E. Taylor. Before that, I worked as a front-end web developer in Tencent after receiving my bachelor’s degree in Computer Science from Huazhong University of Science and Technology in China in 2012.
My current research mainly focuses on developing more sample-efficient deep multi-agent reinforcement learning algorithms for discrete and continuous action domains. I’m also interested in exploration in reinforcement learning. My PhD research mainly focuses on interactive machine learning and curriculum learning. I have done some work on exploring how non-expert humans want to teach the agent to solve complex sequential decision-making tasks and how to incorporate these insights into the development of new machine learning algorithms.