Browsing by Subject "deep reinforcement learning"
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Deep Reinforcement Learning Based Admission Control for Throughput Maximization in Mobile Edge Computing
(2021-09-02)With the development of wireless network technologies, Mobile Cloud Computing (MCC) has been proposed as a solution for mobile devices’ high-complexity computation. Technically, with MCC, mobile devices’ high-complexity ... -
DRL-based Task Offloading for Deadline-sensitive Applications in Multi-access Edge Computing
(2021-09-24)The proliferation of computation-intensive applications, such as online gaming and autonomous driving, has imperatively urged resource-constrained mobile devices to alleviate the computation and energy consumption pressure ...