A Meta Reinforcement Learning-Based Task Offloading Strategy for IoT Devices in an Edge Cloud Computing Environment

A Meta Reinforcement Learning-Based Task Offloading Strategy for IoT Devices in an Edge Cloud Computing Environment

Developing an effective task offloading strategy has been a focus of research to improve the task processing speed of IoT devices in recent years. Some of the reinforcement learning-based policies can improve the dependence of heuristic algorithms on models through continuous interactive exploration...

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Hlavní autoři: He Yang, Weichao Ding, Qi Min, Zhiming Dai, Qingchao Jiang, Chunhua Gu
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-04-01
Edice:Applied Sciences
Témata:
task offloading
mobile edge computing
meta reinforcement learning
IoT devices
On-line přístup:https://www.mdpi.com/2076-3417/13/9/5412

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https://www.mdpi.com/2076-3417/13/9/5412

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