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 bacheleor's at Sun Yat-sen University, both 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 decentralized LLM agents (CoMLRL); (3) developing game-theory approaches in societal-scale MAS.
Selected Papers
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[ICML-26] Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic .
Shuo Liu, Tianle Chen, Ryan Amiri, Christopher Amato.
In Proceedings of the 43rd International Conference on Machine Learning.
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[AAAI-26] LLM Collaboration with Multi-Agent Reinforcement Learning .
Shuo Liu, Zeyu Liang, Xueguang Lyu, Christopher Amato.
In Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence.
