Phd Student

  University of Utah

  Email: qian.lin [at] utah.edu

I am currently a first-year Ph.D. student in Computer Science at the Kahlert School of Computing, advised by Dr. Daniel S. Brown. Previously, I earned my master’s degree from Sun Yat-sen University in China. My research interests lie in reinforcement learning (RL), especially in 1) making RL agents safer and more diverse and 2) learning from different kinds of data including offline datasets and human feedback.

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
Zongkai Liu, Qian Lin, Chao Yu, Xiawei WU, Yile Liang, Donghui Li, Xuetao Ding
AAAI 2025.
[Paper] 

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
Qian Lin, Zongkai Liu, Danying Mo, Chao Yu
NeurIPS 2024.
[Paper] 

Off-Policy Primal-Dual Safe Reinforcement Learning
Zifan Wu, Bo Tang*, Qian Lin*, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
ICLR 2024.
[Paper]  [Code]

Policy-regularized Offline Multi-objective Reinforcement Learning
Qian Lin, Chao Yu, Zifan Wu, Zongkai Liu
AAMAS 2024.
[Paper]  [Code]

Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Qian Lin, Bo Tang*, Zifan Wu*, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
ICML 2023.
[Paper]  [Code]

The pronunciation of my name, Qian Lin, is 'chee-an leen'.

I like electric guitar, movies, Chinese chess and table tennis.

I have been a member of the Duxing Volunteer Service Team since 2019, where I participate in animal rescue activities to assist stray cats and dogs.