Shatong Zhu — accepted AI-conference papers

2026

Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning

Chang Huang, Shatong Zhu, Junqiao Zhao, Hongtu Zhou, Hai Zhang, Di Zhang +3

ICLR 2026poster

Value function factorization is widely used in cooperative multi-agent reinforcement learning (MARL). Existing approaches often impose monotonicity constraints between the joint action value and individual action values to enable decentralized execution. However, such constraints limit the expressiv…

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2024

Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning

Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Yang YU, Junqiao Zhao +1

NeurIPS 2024spotlight

As a marriage between offline RL and meta-RL, the advent of offline meta-reinforcement learning (OMRL) has shown great promise in enabling RL agents to multi-task and quickly adapt while acquiring knowledge safely. Among which, context-based OMRL (COMRL) as a popular paradigm, aims to learn a univer…

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