Xinran Liang

I am a first year Ph.D. student in Computer Science at Princeton University.

Previously, I received bachelor degree in Data Science and Applied Math from UC Berkeley. I was an undergraduate researcher at Robot Learning Lab as part of Berkeley Artificial Intelligence Research, where I was fortunate to be advised by Kimin Lee, Aditi Raghunathan, and Pieter Abbeel.

News

[Apr 2022] Starting Fall 2022, I will join Princeton University as a Ph.D. student in Computer Science!

Research

I'm interested in computer vision and reinforcement learning.

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
Xinran Liang, Katherine Shu, Kimin Lee*, Pieter Abbeel*
International Conference on Learning Representations (ICLR), 2022
NeurIPS Deep Reinforcement Learning Workshop, 2021
paper / code

We propose a simple and efficient human-guided exploration method by measuring uncertainty in human instructions as intrinsic rewards.

Honors and Awards

Department Citation, Department of Data Science, Uiversity of California Berkeley, 2022
Outstanding Graduate Student Instructor Award, Uiversity of California Berkeley, 2021 - 2022
Percy Lionel Davis Award, Department of Mathematics, Uiversity of California Berkeley, 2022

Teaching

	Data 140: Probability for Data Science Head Undergraduate Student Instructor: Spring 2022, Fall 2021, Spring 2021 Undergraduate Student Instructor: Fall 2020 Group Tutor: Spring 2020
	Data 100: Principles and Techniques of Data Science Undergraduate Student Instructor: Summer 2020

Redesigned from Jon Barron's source code.