William Liang

William Liang is a PhD student at the University of California, Berkeley, advised by Pieter Abbeel and Jitendra Malik, and is a recipient of the NSF Graduate Research Fellowship. His research focuses on robot learning, generative models, and multimodal representations. He is known for his work on Eureka, a method using large language models for automatic reward design in reinforcement learning, as well as research on sim-to-real transfer and articulated object modeling.