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Author

Zhongyue Zhao

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2025

Learning and Planning Multi-Agent Tasks via an MoE-based World Model

M3W is a novel approach that applies mixture-of-experts (MoE) to world model instead of policy, enabling both learning and planning, and demonstrates superior performance, sample efficiency, and multi-task adaptability.

Zi-Jie Zhao, Zhong Zhao, Kaixuan Xu et al. · 9 citations
#artificial intelligence Review Aug 2026

AI Alignment through a Game-theoretic Lens: A Survey

This perspective clarifies where current alignment methods genuinely benefit from game-theoretic analysis, where the framework is looser, and what challenges remain in building robust, adaptive, and verifiable AI systems.

Yaxin Cai, Zhongyue Zhao, Zhigang Lu et al. · 0 citations

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