Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum

Research article (Journal of Cloud Computing Advances Systems and Applications, 2024) · cited 30× · AI/ML
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Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum

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Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-reinforcement-learning-techniques-for-dynamic-task-offloading-in-the-5g-edge-cloud-continuum
MLA “Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-reinforcement-learning-techniques-for-dynamic-task-offloading-in-the-5g-edge-cloud-continuum.
BibTeX @misc{4ortxyz_deep-reinforcement-learning-techniques-for-dynamic-task-offloading-in-the-5g-edge-cloud-continuum_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum}}, year = {2026}, url = {https://4ort.xyz/entity/deep-reinforcement-learning-techniques-for-dynamic-task-offloading-in-the-5g-edge-cloud-continuum}, note = {Accessed: 2026-05-24}}
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