Jesse Zhang

jessez at usc dot edu

Hi! I am a fourth-year PhD candidate at USC, advised by Professors Jesse Thomason and Erdem Biyik at USC and Joseph J. Lim at KAIST on deep reinforcement learning for robotics. I completed my undergrad at UC Berkeley, where I worked with Professors Sergey Levine and Dinesh Jayaraman. I have interned at AWS Lablets in Rasool Fakoor's team, NAVER AI Labs and Horizon Robotics.

I am interested in improving generalization and sample-efficiency of reinforcement learning algorithms by injecting inductive biases (e.g., programs), incorporating large offline datasets (e.g., through offline RL), and guiding agents with external knowledge (e.g., large language models).

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