Suchergebnisse - "Multi-agent deep reinforcement learning algorithm"

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  1. 1

    Intelligently Joint Task Assignment and Trajectory Planning for UAV Cluster With Limited Communication von Lu, Zhuo, Wu, Guangyu, Zhou, Fuhui, Wu, Qihui

    ISSN: 0018-9545, 1939-9359
    Veröffentlicht: New York IEEE 01.09.2024
    Veröffentlicht in IEEE transactions on vehicular technology (01.09.2024)
    “… The intelligent collaborative execution of tasks by unmanned aerial vehicle (UAV) clusters has received an increasing attention. However, the quality of …”
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  2. 2

    A hybrid MARL clustering framework for real time open pit mine truck scheduling von Xiang, Xiaolei, Lin, Wei, Li, Danqi

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 07.10.2025
    Veröffentlicht in Scientific reports (07.10.2025)
    “… This paper proposes an innovative approach that combines a QMIX algorithm (a multi-agent deep reinforcement learning algorithm, MADRL) with a Gaussian Mixture …”
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  3. 3

    Low-carbon economic dispatch strategy for integrated electrical and gas system with GCCP based on multi-agent deep reinforcement learning von Feng, Wentao, Deng, Bingyan, Zhang, Ziwen, Jiang, He, Zheng, Yanxi, Peng, Xinran, Zhang, Le, Jing, Zhiyuan

    ISSN: 2296-598X, 2296-598X
    Veröffentlicht: Frontiers Media S.A 19.07.2024
    Veröffentlicht in Frontiers in energy research (19.07.2024)
    “… With the growing concern for the environment, sustainable development centred on a low-carbon economy has become a unifying pursuit for the energy industry …”
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  4. 4

    Dynamic energy management and control of networked microgrids based on load to grid services and incentive-based demand response programs: A multi-agent deep reinforcement learning approach von Seylab, Masoumeh Rezazadeh, Naderi, Mehdi S., Gharehpetian, Gevork B.

    ISSN: 2210-6707
    Veröffentlicht: Elsevier Ltd 15.12.2024
    Veröffentlicht in Sustainable cities and society (15.12.2024)
    “… •Increase the speed of operational processing.•Creation of a competitive and encouraging platform based on L2 G services.•Increase the accuracy of data …”
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  5. 5

    Large-scale multi-agent deep reinforcement learning-based coordination strategy for energy optimization and control of proton exchange membrane fuel cell von Li, Jiawen, Yu, Tao

    ISSN: 2213-1388
    Veröffentlicht: Elsevier Ltd 01.12.2021
    Veröffentlicht in Sustainable energy technologies and assessments (01.12.2021)
    “… To maximize the net output power and ensure the safe operation of proton exchange membrane fuel cells (PEMFCs), a coordination strategy is proposed in this …”
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  6. 6

    Federated Learning Assisted Intelligent IoV Mobile Edge Computing von Quan, Haoyu, Zhang, Qingmiao, Zhao, Junhui

    ISSN: 2473-2400, 2473-2400
    Veröffentlicht: Piscataway IEEE 01.03.2025
    “… As a crucial solution to the insufficient computing resources of device in Internet of Vehicles (IoVs) systems, mobile edge computing (MEC) has received …”
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