A dynamic queuing model based distributed task offloading algorithm using deep reinforcement learning in mobile edge computing

Research article (Applied Intelligence, 2023) · cited 11× · AI/ML
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A dynamic queuing model based distributed task offloading algorithm using deep reinforcement learning in mobile edge computing

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A dynamic queuing model based distributed task offloading algorithm using deep reinforcement learning in mobile edge computing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A dynamic queuing model based distributed task offloading algorithm using deep reinforcement learning in mobile edge computing. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-dynamic-queuing-model-based-distributed-task-offloading-algorithm-using-deep-reinforcement-learning-in-mobile-edge-com
MLA “A dynamic queuing model based distributed task offloading algorithm using deep reinforcement learning in mobile edge computing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-dynamic-queuing-model-based-distributed-task-offloading-algorithm-using-deep-reinforcement-learning-in-mobile-edge-com.
BibTeX @misc{4ortxyz_a-dynamic-queuing-model-based-distributed-task-offloading-algorithm-using-deep-reinforcement-learning-in-mobile-edge-com_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A dynamic queuing model based distributed task offloading algorithm using deep reinforcement learning in mobile edge computing}}, year = {2026}, url = {https://4ort.xyz/entity/a-dynamic-queuing-model-based-distributed-task-offloading-algorithm-using-deep-reinforcement-learning-in-mobile-edge-com}, note = {Accessed: 2026-05-24}}
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