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Type: User
基于深度强化学习的部分计算任务卸载延迟优化
强化学习+用户关联
关联+图像数据集+重点观看
边缘计算环境中使用强化学习的资源分配
Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers
关联
MATLAB code for the simulation of our paper entitled "Energy-Efficient Task Offloading Under E2E Latency Constraints"
多服务器移动边缘计算网络的任务卸载和资源分配
用户关联+深度强化学习
无人机辅助移动边缘计算的计算卸载优化: 一种深度确定性策略梯度法
UAV-based MEC to maximize user throughput via reinforcement learning
强化学习+关联+无人机
用户关联框架
关联问题+5
sac+车辆
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