Zhi Wang's Homepage

I am a fourth-year Ph.D. student in Computer Science at the University of California San Diego (UCSD). I am advised by Prof. Kamalika Chaudhuri.

I am primarily interested in the theory and application of topics in sequential decision making, such as bandit learning and reinforcement learning. I am currently working on theoretically characterizing the benefits of domain adaptation and transfer learning, as well as designing and analyzing sample-efficient algorithms, for several sequential decision making problems.

Before joining UCSD, I obtained my B.S. in Computer Science from the University of Southern California, where I worked with Prof. T. K. Satish Kumar and Prof. Sven Koenig on combinatorial search, planning and scheduling, and constraint satisfaction, among many other subfields of artificial intelligence.



Office: EBU3B 4142 @ UCSD
Email: zhiwang at eng dot ucsd dot edu
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