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职业迁徙
个人简介
My research interest lies in learning, control and decision making in large scale multi-agent infrastructures, with particular applications to dynamic network congestion problem as well as energy efficient building thermal control design. The high-level objective is to design rigorous and practical algorithms with theoretical guarantees for coordinating multi-agent systems that achieve good performance in a computationally and communicationally efficient manner. As an ultimate goal, my research is dedicated to providing both theoretical insights and engineering tools for AI-enabled multi-agent societal systems design and operation. My research is closely related to reinforcement learning (RL), game theory, control theory and optimization.
研究兴趣
论文共 15 篇作者统计合作学者相似作者
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CoRR (2024)
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arxiv(2024)
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Building and Environment (2023): 110519-110519
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arxiv(2022)
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