I am currently a postdoctoral researcher in Whiteson Research Lab at University of Oxford. My PhD research mainly focuses on interactive machine learning, reinforcement learning, and curriculum learning. I have done some work on exploring how non-expert humans want to teach the agent to solve new complex sequential decision tasks and how to incorporate these insights into the development of new machine learning algorithms. I’m also interested in developing more sample efficient reinforcement learning algorithms. I received my doctorate from the School of Electrical Engineering and Computer Science at Washington State University in 2018, after working 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.
OCT 2018: I am now doing my internship at Microsoft Research Lab Redmond.
JUL 2018: I defended my Ph.D. dissertation entitled “Learning from Human Teachers: Supporting How People Want to Teach in Interactive Machine Learning.”
JUL 2018: I was selected as an organizer for the Adaptive Learning Agents Workshop (ALA) at AAMAS 2019.
MAR 2018: Our journal paper has been accepted for publication in the IEEE Transactions on Emerging Topics in Computational Intelligence.
MAR 2018: I am now doing my internship at Borealis AI in Edmonton, Canada.
JUL 2017: I am now doing my internship at Tencent AI Lab in Seattle.