Edge Caching Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Edge Caching Based on Deep Reinforcement Learning

Published:2023-08-10 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CIC International Conference on Communications in China (ICCC)
language:
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Author:

Niknia Farnaz¹,Wang Ping¹,Agarwal Aakash²,Wang Zixu³

Affiliation:

1. York University,Department of Electrical Engineering and Computer Science,Toronto,Canada

2. IIIT-Naya Raipur,Electronic and Communication Engineering,Naya Raipur,India

3. South China University of Technology,School of Computer Science and Engineering,Guangdong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10233255/10233122/10233394.pdf?arnumber=10233394

Reference24 articles.

1. Tensorflow;developers;Zenodo,2022

2. Between mdps and semi-mdps: Learning, planning, and representing knowledge at multiple temporal scales;sutton,1998

3. The Hadamard product

4. Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities

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