無線通信・ネットワークのための深層強化学習:理論・応用・実装
Deep Reinforcement Learning for Wireless Communications and Networking
Theory, Applications and Implementation
Hoang, Dinh Thai
Huynh, Nguyen Van
Nguyen, Diep N.
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Covering new advanced models of DRL, e.g., deep dueling architecture and generative adversarial networks, as well as emerging problems considered in wireless networks, e.g., ambient backscatter communication, intelligent reflecting surfaces and edge intelligence, this is the first comprehensive book studying applications of DRL for wireless networks that presents the state-of-the-art research in architecture, protocol, and application design.