Search Results - "multi-agent deep reinforcement learning algorithm"

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

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

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

“…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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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 by Seylab, Masoumeh Rezazadeh, Naderi, Mehdi S., Gharehpetian, Gevork B.

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

“…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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Federated Learning Assisted Intelligent IoV Mobile Edge Computing by Quan, Haoyu, Zhang, Qingmiao, Zhao, Junhui

“…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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