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An Energy-Efficient Cross-Layer Routing Protocol for Cognitive Radio Networks Using Apprenticeship Deep Reinforcement Learning

机译：使用学徒深度加强学习的认知无线电网络的节能跨层路由协议

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Yihang Du; Ying Xu; Lei Xue; Lijia Wang; Fan Zhang;
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1. An Energy-Efficient Cross-Layer Routing Protocol for Cognitive Radio Networks Using Apprenticeship Deep Reinforcement Learning [J] . Yihang Du, Ying Xu, Lei Xue, Energies . 2019,第14期

机译：使用学徒深度强化学习的认知无线电网络的节能跨层路由协议
2. An Energy-Efficient Cross-Layer Routing Protocol for Cognitive Radio Networks Using Apprenticeship Deep Reinforcement Learning [J] . Yihang Du, Ying Xu, Lei Xue, Energies . 2019,第14期

机译：使用学徒深度强化学习的认知无线电网络的节能跨层路由协议
3. An apprenticeship learning scheme based on expert demonstrations for cross-layer routing design in cognitive radio networks [J] . Du Yihang, Xue Lei, Xu Ying, AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication . 2019,第期

机译：基于认知无线电网络跨层路由设计专家演示的学徒学习计划
4. An Efficient QoS Routing Protocol in Cognitive Radio MANETs: Cross-Layer Design Meets Deep Reinforcement Learning [C] . Toan-Van Nguyen, Thong-Nhat Tran, Thien Huynh-The, International Conference on Electronics, Information, and Communication . 2021

机译：认知式无线电车辆中有效的QoS路由协议：跨层设计符合深度加强学习
5. Cross Layer Routing in Cognitive Radio Network Using Deep Reinforcement Learning [D] . Chitnavis, Snehal Sudhir. 2018

机译：利用深增强学习认知无线电网络中的交叉层路由
6. A Cross-Layer Routing Protocol Based on Quasi-Cooperative Multi-Agent Learning for Multi-Hop Cognitive Radio Networks [O] . Yihang Du, Chun Chen, Pengfei Ma, 2019

机译：基于多跳认知无线网络的准合作多Agent学习的跨层路由协议
7. An Energy-Efficient Spectrum-Aware Reinforcement Learning-Based Clustering Algorithm for Cognitive Radio Sensor Networks [O] . Ibrahim Mustapha, Borhanuddin Mohd Ali, Mohd Fadlee A. Rasid, 2015

机译：一种用于认知无线电传感器网络的节能谱识别强化学习聚类算法
8. Multi-Objective Reinforcement Learning-Based Deep Neural Networks for Cognitive Space Communications. [R] . Ferreria, P. V. R., Paffenroth, R., Wyglinski, A. M., 2017

机译：基于多目标强化学习的认知空间通信深度神经网络。

An Energy-Efficient Cross-Layer Routing Protocol for Cognitive Radio Networks Using Apprenticeship Deep Reinforcement Learning

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