Will Liang

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

I am an undergraduate student at the University of Pennsylvania, where I have been fortunate to work with Jason Ma, Dinesh Jayaraman, Osbert Bastani, Kostas Daniilidis, and Jianbo Shi. I am also a research intern at NVIDIA, working with Jim Fan and Yuke Zhu.

My research interests include robot learning, multimodal representations, generative models, and reinforcement learning for versatile and robust embodied agents.

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.