Towards Efficient Task Offloading at the Edge Based on Meta-Reinforcement Learning with Hybrid Action Space-Reference-Cited by-同舟云学术

Towards Efficient Task Offloading at the Edge Based on Meta-Reinforcement Learning with Hybrid Action Space

Published:2023-05-28 Issue: Volume: Page:
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Container-title:ICC 2023 - IEEE International Conference on Communications
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Author:

Yang Zhao¹,Deng Yuxiang¹,Wang Ting¹,Cai Haibin¹

Affiliation:

1. East China Normal University,MoE Engineering Research Center of Software/Hardware Co-design Technology and Application, Shanghai Key Laboratory of Trustworthy Computing,Shanghai,China

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279699.pdf?arnumber=10279699

Reference19 articles.

1. Joint optimization of computing offloading and service caching in edge computing-based smart grid;zhou;IEEE Transactions on Cloud Computing,2022

2. Code-Partitioning Offloading Schemes in Mobile Edge Computing for Augmented Reality

3. Semi-Online Computational Offloading by Dueling Deep-Q Network for User Behavior Prediction

4. Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning;chen;IEEE IoT,2018

5. Computation offloading for mobile edge computing: A deep learning approach

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