Research on Deployment of Communication Node Vehicles Based on Deep Reinforcement Learning

被引：0

作者：

Yang, Ruopeng ^{[1
]}

Zou, Xiaofei ^{[1
]}

Nie, Zongzhe ^{[1
]}

Yin, Changsheng ^{[1
]}

机构：

[1] Natl Univ Def Technol, Informat & Commun Coll, Wuhan 430010, Hubei, Peoples R China

来源：

PROCEEDINGS OF 2018 5TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS) | 2018年

关键词：

Communication node vehicle; Deployment; Deep reinforcement learning; GAME; GO;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper is based on deep reinforcement learning to research the idea of intelligent deployment of communication node vehicles. Learning from the series of AlphaGo technology, building the strategic network and value evaluation network based on the convolutional neural network, designing the model and implementation of communication node vehicles' deployment.

引用

页码：484 / 487

页数：4

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