Research on Task Offloading and Typical Application Based on Deep Reinforcement Learning and Device-Edge-Cloud Collaboration-Reference-Cited by-同舟云学术

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Research on Task Offloading and Typical Application Based on Deep Reinforcement Learning and Device-Edge-Cloud Collaboration

Published:2024-02-01 Issue: Volume: Page:13-18
ISSN:
Container-title:2024 Australian & New Zealand Control Conference (ANZCC)
language:
Short-container-title:

Author:

Zeng Lingqiu¹,Hu Han¹,Han Qingwen²,Ye Lei²,Lei Yu³

Affiliation:

1. Chongqing University,College of Computer Science,Chongqing,China,400044

2. Chongqing University,School of Microelectronics and Communication Engineering,Chongqing,China,400044

3. Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10432770/10432788/10432815.pdf?arnumber=10432815

Reference12 articles.

1. Integer particle swarm optimization based task scheduling for device-edge-cloud cooperative computing to improve SLA satisfaction

2. Computation Offloading and Retrieval for Vehicular Edge Computing

3. RL/DRL Meets Vehicular Task Offloading Using Edge and Vehicular Cloudlet: A Survey

4. Reinforcement Learning-Based Decision-Making for Vehicular Edge Computing

5. Distributed V2V Computation Offloading Based on Dynamic Pricing Using Deep Reinforcement Learning

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