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Ning Rao
Observed name:
Ning RAO
Institution:
Air Force Engineering University
Observed institution:
Air Force Engineering University
ORCID:
0000-0003-3801-4187
Observed ORCID:
0000-0003-3801-4187
OpenAlex ID:
A5014451490
Fast Adaptive Jamming Resource Allocation Against Frequency-Hopping Spread Spectrum in Wireless Sensor Networks via Meta-Deep-Reinforcement-Learning
2024
·
Ning Rao
, Hua Xu
, et al.
·
IEEE Transactions on Aerospace and Electronic Systems
·
20
Joint Optimization of Jamming Link and Power Control in Communication Countermeasures: A Multiagent Deep Reinforcement Learning Approach
2022
·
Ning Rao
, Hua Xu
, et al.
·
Wireless Communications and Mobile Computing
·
14
PDF
Efficient Jamming Resource Allocation Against Frequency-Hopping Spread Spectrum in WSNs With Asynchronous Deep Reinforcement Learning
2024
·
Ning Rao
, Hua Xu
, et al.
·
IEEE Sensors Journal
·
12
Allocation method of communication interference resource based on deep reinforcement learning of maximum policy entropy
2021
·
Ning RAO
, Hua XU
, et al.
·
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
·
12
PDF
Dynamic Jamming Power Allocation With Incomplete Sensing Information: Improving by GAN and Opponent Modeling
2024
·
Xiang Peng
, Hua Xu
, et al.
·
IEEE Communications Letters
·
8
An intelligent decision-making method for anti-jamming communication based on deep reinforcement learning
2021
·
Bailin Song
, Hua Xu
, et al.
·
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
·
5
PDF
Adaptive Jamming Decision-Making Against FHSS Communications via Inexpert Demonstrations Assisted Meta Reinforcement Learning
2024
·
Ning Rao
, Hua Xu
, et al.
·
IEEE Communications Letters
·
4
The pupil outdoes the master: Imperfect demonstration-assisted trust region jamming policy optimization against frequency-hopping spread spectrum
2024
·
Ning Rao
, Hua Xu
, et al.
·
Computer Communications
·
3
Soft Actor-Critic Deep Reinforcement Learning Based Interference Resource Allocation
2021
·
Ning Rao
, Hua Xu
, et al.
·
International Conference on Computing and Artificial Intelligence (ICCAI)
·
1
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Works count:
9
Citation count:
79
H-index:
5
I10-index:
4
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