Qian Lin

About

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.

Recent Updates

[May, 2026] Implicit Safety Alignment from Crowd Preferences accepted by ICML 2026.
[May, 2026] Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning accepted by RLC 2026.
[May, 2026] Understanding the Effects of Neuron Dominance in Deep Reinforcement Learning accepted by TMLR.

Publications

Implicit Safety Alignment from Crowd Preferences

Qian Lin, Daniel S. Brown

ICML 2026.

[Paper]

Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning

Ali Larian, Qian Lin, Chang Zong Wu, Daniel S. Brown

RLC 2026.

[Paper]

Understanding the Effects of Neuron Dominance in Deep Reinforcement Learning

Zifan Wu, Qian Lin, Blake Lawlor, Haijun Zhao, Daniel S. Brown

TMLR.

[Paper]

Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning

Shenghong He, Chao Yu, Qian Lin, Yile Liang, Donghui Li, Xuetao Ding

AAAI 2026.

[Paper]

Conservative Offline Goal-Conditioned Implicit V-Learning

Kaiqiang Ke, Qian Lin, Zongkai Liu, Shenghong He, Chao Yu

ICML 2025.

[Paper]

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]

Selected Awards

Chinese National Scholarship, 2024.
Xiaomi Scholarship, 2023.
First Prize of Sun Yat-sen University Graduate Scholarship and Grant, 2022–2024.
Grant Prize at the RoboMaster Sim2Real Challenge (2022 IEEE Conference on Games), 2022.

Miscellaneous

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.