(T, ∊)-Greedy Reinforcement Learning for Anti-Jamming Wireless Communications-Reference-Cited by-同舟云学术

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(T, ∊)-Greedy Reinforcement Learning for Anti-Jamming Wireless Communications

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2020 - 2020 IEEE Global Communications Conference
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Author:

Ye Pei-Gen,Wang Yuan-Gen,Li Jin,Xiao Liang,Zhu Guopu

Funder

National Natural Science Foundation of China

Science and Technology Program of Guangzhou

Tip-top Scientific and Technical Innovative Youth Talents of Guangdong Special Support Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9322055/9321973/09322486.pdf?arnumber=9322486

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers;IEEE Open Journal of the Communications Society;2024

2. Intelligent Anti-Jamming Decision With Continuous Action and State in Bivariate Frequency Agility Communication System;IEEE Transactions on Cognitive Communications and Networking;2023-12

3. Dynamic Spectrum Anti-Jamming Access With Fast Convergence: A Labeled Deep Reinforcement Learning Approach;IEEE Transactions on Information Forensics and Security;2023

4. Deep Reinforcement Learning-Based Computation Offloading for Anti-jamming in Fog Computing Networks;Proceedings of the 2022 12th International Conference on Communication and Network Security;2022-12

5. Improving the Performance of HF Radio Networks in the Presence of Interference through Automatic Link Establishment with Frequency Hopping Technique;Wireless Personal Communications;2022-07-17

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