Will Liang

willjhliang@gmail.com (github, linkedin, gscholar, twitter, notes)

I am a PhD student at the University of California, Berkeley, advised by Pieter Abbeel and Jitendra Malik, and supported by the NSF Graduate Research Fellowship. My research interests include robot learning, generative models, and multimodal representations for embodied agents that learn from human priors and unstructured, self-directed experience.

Previously, I studied at the University of Pennsylvania, working with Jason Ma, Dinesh Jayaraman, Osbert Bastani, Kostas Daniilidis, and Jianbo Shi.

In the evenings, you might also find me playing guitar or painting.

Updates

Research

Selected representative publications are listed below. For the complete set, please see Google Scholar.

Eurekaverse: Environment Curriculum Generation via Large Language Models

William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Dinesh Jayaraman†, Yecheng Jason Ma†

Conference on Robot Learning (CoRL), 2024 (Oral)

(paper, website, code)

DrEureka: Language Model Guided Sim-To-Real Transfer

Yecheng Jason Ma*, William Liang*, Hung-Ju Wang, Sam Wang, Yuke Zhu, Linxi "Jim" Fan, Osbert Bastani, Dinesh Jayaraman

Robotics: Science and Systems (RSS), 2024 (Oral)

(paper, website, code)

Eureka: Human-Level Reward Design via Coding Large Language Models

Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi "Jim" Fan†, Anima Anandkumar†

International Conference on Learning Representations (ICLR), 2024

(paper, website, code)

Projects

The following are some other projects I particularly enjoyed. More can be found on Github.