Short Bio

I am a Ph.D. student at the Khoury College of Computer Sciences at Northeastern University, advised by Christopher Amato. Previously, I finished my master’s at Columbia University and my undergraduate studies at Sun Yat-sen University.

My research focuses on reinforcement learning, multi-agent systems, and agent collaboration. Specifically: (1) Advancing theory and methods for decentralized decision-making in partially observable domains; (2) Optimizing the collaboration between LLM agents through MARL (CoMLRL project); (3) Developing game-theoretic frameworks for multi-agent planning in societal-scale systems.

Keywords: Multi-Agent Reinforcement Learning; Large Language Models; Game Theory.

Education

• Northeastern University, Boston, Massachusetts
  Ph.D. in Computer Science, 2024 - Present
  
• Columbia University, New York, New York
  M.S. in Computer Science, Data Science, 2021 - 2024
  
• Sun Yat-sen University, Guangzhou, Guangdong, China
  B.E. in Software Engineering, 2016 - 2020
  

Selected Papers

• [AAAI]  LLM Collaboration with Multi-Agent Reinforcement Learning.
  Shuo Liu, Zeyu Liang, Xueguang Lyu, Christopher Amato,
  in 40th Annual AAAI Conference on Artificial Intelligence.
       

• [Mathematics]  Scalable Learning for Spatiotemporal Mean-Field Games using Physics-Informed Neural Operator.
  Shuo Liu, Xu Chen, Sharon Di,
  in Mathematics, 2024.
  Nominated as an editor's choice article!
       

Teaching

• Teaching Assistant: Northeastern CS 5180 Reinforcement Learning and Sequential Decision Making, Spring 2025.
• Course Assistant: Columbia COMS 4995 Empirical Methods for Data Science, Spring 2022, Fall 2022.
• Course Assistant: Columbia COMS 4231 Analysis of Algorithms, Spring 2022.
• Course Assistant: Columbia CSOR 4246 Algorithm for Data Science, Fall 2021.

Service

• Conference Reviewer: AAAI 2026; AAMAS 2026; ICRA 2026; IJCNN 2025.