Hi there! Welcome to my home page.

I’m Zhiyuan; my friends call me Paul.

I am currently a CS Ph.D. student at UC Berkeley, advised by professor Sergey Levine. I am interested in reinforcement learning and building autonomous intelligent agents. I recently graduated magna cum laude from Brown University with an Sc.B. in Applied Math and Computer Science, and I was fortunate to be advised by professors George Konidaris and Michael Littman at Brown. Check out my research page for more information.

Outside of this, I like to jam on my guitar, play badminton, and watch standups and movies.

I love connecting with people. If you’d like to get in contact with me, please reach out at [zhiyuan_zhou at berkeley dot edu].

Recent News

last updated: Aug 2023

• My paper Specifying Behavior Preference with Tiered Reward Functions is presented at an ICML workshop.
• Check out my undergrad thesis Policy Transfer in Lifelong Reinforcement Learning through Learning Generalizing Features.
• I’m excited to start my Ph.D. at UC Berkeley in the fall!
• I’m honored that our paper Designing Rewards for Fast Learning is selected for oral presentation at RLDM2022! Check out the recording at 1:20:22.
• Our work Characterizing the Action-Generalization Gap in Deep Q-Learning is accepted into RLDM2022!
• The research project I did my freshman summer Improving Post-Processing on Video Object Recognition Using Inertial Measurement Unit has been published on the Brown Undergraduate Research Journal