معرفی
Wenshuai Zhao is a Doctoral Student in the School of Electrical Engineering and a Postdoctoral Researcher in the Department of Computer Science. His research focuses on Multi-Agent Reinforcement Learning, Humanoid Robotics, and Temporal Consistency in Deep Learning.
- Master of Engineering and Technology, Fudan University (2020)
- Master of Natural Sciences, University of Turku (2020)
His work spans dynamic models, sample efficiency, and policy optimization. Recent publications include AgentMixer (2025) for policy factorization, Bi-Level Motion Imitation (2025) for humanoid robots, and Optimistic Policy Gradient (2024) for multi-agent coordination. Collaborations include the EU's Recovery and Resilience Facility and Business Finland projects.
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