Dapeng Li ( 李大鹏 )
Ph.D Candidate

Institute of Automation, Chinese Academy of Sciences
School of Artificial Intelligence, University of Chinese Academy of Sciences

Location: 95 Zhongguancun East Road, BEIJING, CHINA
Interest | Education | Awards | Publications |

Email: lidapeng2020@ia.ac.cn

Fields of Interest

 My research interests include reinforcement learning,multi-agent systems and data mining & analysis. Currently, I focus on the following research topics: Other Interest:

Education

Selected competitions and awards
  • The 1st (1/1122), 2021, DataFountain Green Furture Competition, Wind Power Abnormal Data Recognition Track
  • The 1st (1/620), 2021, DataFountain Green Furture Competition, Photovoltaic Abnormal Data Recognition Track
  • The 3rd (3/172), 2021, Global Open Data Application Innovation Competition, Wind Field Downscaling track
  • The 2nd (2/423), 2021, Global Open Data Application Innovation Competition, Road Detection track
  • The Grand Prize (1/158), 2021, Golden Wind Cup, Tsinghua
  • The 3rd (3/1511), 2021, DCIC Digital China Innovation Competition
  • The 3rd (3/739), 2021, iFLYTEK A.I. Advertising Picture Material Classification Algorithm Challenge
  • The 3rd, 2021, NeurIPS workshop MineRL intro
  • The 1st (1/4337), 2021, Tianchi Global AI Innovation Contest
  • The Second Prize (National), 2021, National Post-Graduate Mathematical Contest in Modeling
  • The 1st (1/2800), 2019, China Datathon
  • The First Prize, 2019, The "Challenge Cup" capital college students competition
  • The 1st (1/475), 2019, National University Student Transportation Science and Technology Competition
  • Silver medal, 2019, Microsoft Malware Prediction, Kaggle
  • The Second Prize (Global), 2019, International Competition of Autonomous Running Intelligent Robots
  • The 1st Prize, 2018, China Robot Competition, by Chinese Association of Automation (National)


    • Some awards in my graduate and undergraduate school:
  • 2021 Outstanding Mentors, CCF
  • 2021 Excellent Student, University of Chinese Academy of Sciences
  • 2020 Outstanding Graduates of Beijing
  • 2020 Beijing University of Technology Top Ten Graduates
  • 2020 Beijing University of Technology President Scholarship (Top ten student in entire school)
  • 2019 Technology Innovation and Practice Scholarship, Toyo Information Systems

Selected Publications
  • Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation
    The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, Pennsylvania, USA, 2025. (Oral)
    Dapeng Li, Na Lou, Zhiwei Xu, Bin Zhang, and Guoliang Fan
    [Arxiv]
  • Sequential asynchronous action coordination in multi-agent systems: A stackelberg decision transformer approach
    The Forty-first International Conference on Machine Learning (ICML), 2024.
    Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li, Rui Zhao, Guoliang Fan
    [Arxiv]
  • Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning
    Forty-second International Conference on Machine Learning (ICML), Vancouver, Canada, 2025.
    Zhiwei Xu, Kun Hu, Xin Xin, Weiliang Meng, Yiwei Shi, Hangyu Mao, Bin Zhang, Dapeng Li, and Jiangjin Yin
  • From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL
    International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Auckland, New Zealand, 2024. (Extended Abstract)
    Dapeng Li, Zhiwei Xu, Bin Zhang, and Guoliang Fan
    [Arxiv]
  • Adaptive Parameter Sharing for Multi-Agent Reinforcement Learning
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, 2024.
    Dapeng Li, Na Lou, Bin Zhang, Zhiwei Xu, and Guoliang Fan
    [Arxiv]
  • SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning
    International Joint Conference on Neural Networks (IJCNN), Queensland, Australia, 2023.
    Dapeng Li, Zhiwei Xu, Bin Zhang, and Guoliang Fan
  • Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
    Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, USA, 2023. (Oral)
    Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, and Guoliang Fan
    [Arxiv][Code]
  • HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
    Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, USA, 2023. (Oral)
    Zhiwei Xu, Yunpeng Bai, Bin Zhang, Dapeng Li, and Guoliang Fan
    [Arxiv][Code]
  • Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
    Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2022. (Spotlight)
    Zhiwei Xu, Dapeng Li, Bin Zhang, Yuan Zhan, Yunpeng Bai, and Guoliang Fan
    [Arxiv]
  • MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning
    International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, 2021. (Poster)
    Zhiwei Xu, Dapeng Li, Yunpeng Bai, and Guoliang Fan*
    [Arxiv]
  • SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning
    International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Auckland, New Zealand, 2022. (Oral)
    Zhiwei Xu, Yunpeng Bai, Dapeng Li, Bin Zhang, and Guoliang Fan*
    [Arxiv][Code]

Pre-prints:

  • Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning
    Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, and Guoliang Fan
    [Arxiv]