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Updated: Jan 15, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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一个混合MARL集群框架,用于实时开采采矿卡车调度

Xiaolei Xiang1, Wei Lin2,3, Danqi Li4

  • 1WA School of Mines, Curtin University, Kalgoorie, WA, 6430, Australia.

Scientific reports
|October 7, 2025
PubMed
概括

本研究介绍了一个QMIX-GMM框架,用于优化采矿卡车路径规划和调度. 多代理深度强化学习方法提高了开采矿的运营效率和协作.

关键词:
高斯混合物模型模型的高斯混合物模型.多代理深度强化学习算法开采采矿开采采矿开采采矿开采采矿开采采矿开采采矿开采采矿开采采矿开采采矿开采采矿开采采矿开采采矿开采采矿开采采采矿开采采采矿开采采采矿开采采采矿开采采采矿开采采矿开采采采矿开采采采采采采采采采采采采采采采采采采采采采采我们的QMIX是QMIX.卡车的时间安排.

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