TY  - BOOK
AU  - Hoang,Dinh Thai
TI  - Deep reinforcement learning for wireless communications and networking: theory, applications and implementation 
SN  - 9781119873679 
AV  - TK5103.2 .H63 2023
U1  - 621.384 23/eng/20230712
PY  - 2023///]
CY  - Hoboken, New Jersey
PB  - John Wiley & Sons, Inc.
KW  - Wireless communication systems
KW  - Electronic books
N2  - Deep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together with a particular case study to practice. The book also covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking. 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
UR  - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119873747
ER  -