Will Liang

I'm a computer science student at the University of Pennsylvania. I'm working on robot learning in the GRASP Laboratory, where I'm fortunate to be mentored by Jason Ma and advised by Dinesh Jayaraman, Osbert Bastani, and Jianbo Shi. My interests are multimodal representations, large language models, and reinforcement learning for intelligent, robust embodied agents.

Previously, I've interned at Anduril Industries and and Hudson River Trading. I've also dabbled in traditional art and game development.



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

(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
CoRL Workshop on Language and Robot Learning, 2023 (Oral)
CoRL Towards Generalist Robotics Workshop, 2023 (Oral)
NeurIPS Agent Learning in Open-Endedness Workshop, 2023 (Oral)
NeurIPS Workshop on Foundation Models for Decision Making, 2023

(paper, website, code)

LIV: Language-Image Representations and Rewards for Robotic Control

Yecheng Jason Ma, William Liang, Vaidehi Som, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman

arXiv, 2023 (extended ICML)
RSS Workshop on Utilizing Language for Robot Learning, 2023 (Oral)


Tensor Shape Search for Optimum Data Compression

Ryan Solgi, Zichang He, William Liang, Zheng Zhang

arXiv, 2022


(* denotes equal contribution, † denotes equal advising)