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To enhance system utility in multi-user task offloading, a reinforcement deep learning-based task offloading scheme within an edge-cloud joint computing framework is proposed. This scheme leverages deep reinforcement learning to optimize the collaborative allocation of resources between edge and cloud, improving decision making for task offloading...
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Context 1
... consistency, the simulation results are averaged over 1,000 repetitions of each experiment. As the number of users varies, the changes in system utility values for each approach are shown in Figure 2. It is evident from the figure that as the number of users increases, the proposed scheme (hereinafter referred to as the "proposed scheme") significantly improves system utility compared to other approaches. ...
Context 2
... consistency, the simulation results are averaged over 1,000 repetitions of each experiment. As the number of users varies, the changes in system utility values for each approach are shown in Figure 2. It is evident from the figure that as the number of users increases, the proposed scheme (hereinafter referred to as the "proposed scheme") significantly improves system utility compared to other approaches. ...
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