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 bachelor's at Sun Yat-sen University in Computer Science.

My research focuses on reinforcement learning (RL), multi-agent systems (MAS), and game theory. Specifically, (1) advancing theory and algorithms for cooperative multi-agent RL; (2) optimizing collaboration between LLM agents (CoMLRL); (3) developing game-theory approaches in societal-scale MAS.

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

Selected Papers

• Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic.
  Shuo Liu, Tianle Chen, Ryan Amiri, Christopher Amato.
  In Proceedings of the Forty-Third International Conference on Machine Learning (ICML), July 2026.
  [paper] [code] [docs] [slides] [cite]

• LLM Collaboration with Multi-Agent Reinforcement Learning.
  Shuo Liu, Zeyu Liang, Xueguang Lyu, Christopher Amato.
  In Proceedings of the Fortieth Annual AAAI Conference on Artificial Intelligence (AAAI), January 2026.
  [paper] [code] [docs] [slides] [cite]

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: ICLR (2027); ICML (2026); NeurIPS (2026); AAAI (2026, 2027); RLC(2026); AAMAS (2026, 2027); ICRA (2026, 2027); IJCNN (2025, 2026); IVA(2026). Journal Reviewer: TMLR (2026).