MSc Student

  Sun Yat-sen University

  Email: linq67 [at] mail2.sysu.edu.cn

I am a third-year Master's student from the School of Computer Science and Engineering at Sun Yat-sen University, China, supervised by Professor Chao Yu. I mainly focus on reinforcement learning (RL), especially safe, multi-objective, and offline RL.

Specifically, I like to explore 1) the safety and diversity of RL agents' behaviors, 2) RL with various sources of data like offline datasets and human feedback, and 3) the interactions between different RL subfields as well as cutting-edge AI technologies.

I am expected to graduate in June 2025, and I intend to apply for a PhD program in the fall of 2025.

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 watching movies, playing 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.