Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach

Research article (Computer Communications, 2024) · cited 14× · AI/ML
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Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach

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Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-objective-task-offloading-for-highly-dynamic-heterogeneous-vehicular-edge-computing-an-efficient-reinforcement-lea
MLA “Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-objective-task-offloading-for-highly-dynamic-heterogeneous-vehicular-edge-computing-an-efficient-reinforcement-lea.
BibTeX @misc{4ortxyz_multi-objective-task-offloading-for-highly-dynamic-heterogeneous-vehicular-edge-computing-an-efficient-reinforcement-lea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/multi-objective-task-offloading-for-highly-dynamic-heterogeneous-vehicular-edge-computing-an-efficient-reinforcement-lea}, note = {Accessed: 2026-05-24}}
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