School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;
AffBSchool of Information and Electronics, Beijing Institute of Technology, Beijing, China;
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;
Base stations; Reinforcement learning; Neural networks; Mobile computing; Task analysis; Aerospace electronics; Servers;
机译:QoE驱动的以内容为中心的缓存以及在启用了边缘的IoT中的深度强化学习
机译:基于BlockChain和移动边缘计算的基于设备到设备(D2D)缓存的深增强学习(DRL)
机译:用于移动边缘计算的修改加固基于缓存系统
机译:在移动计算中使用深增强学习的内容为中心的缓存
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:在密集移动网络中使用深增强学习的随机访问
机译:缓存辅助NOMA移动边缘计算:加固学习方法