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机译:车辆边缘计算的知识驱动服务分流决策:一种深度强化学习方法
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, Pattern Recognit & Intelligent Syst Lab, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
EBUPT Informat Technol Co Ltd, Beijing 100191, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Internet of Vehicle; service offloading decision; multi-task; knowledge driven; deep reinforcement learning;
机译:车辆边缘计算的深度强化学习:智能卸载系统
机译:多用户移动边缘计算的分散计算卸载:深增强学习方法
机译:车辆边缘计算网络中的自适应任务卸载:基于加强学习的方案
机译:车辆边缘计算中基于深度强化学习的计算分载
机译:边缘计算中的应用放置 - 优化,游戏和深度加固学习
机译:DeepBrain:基于云的计算卸载和边缘计算的实验评估用于深入学习应用程序
机译:基于NOMA的多通道计算中的在线计算卸载:深增强学习方法