Deep Reinforcement Learning for Wireless Communications and N... - 9781119873679

Deep Reinforcement Learning for Wireless Communications and NetworkingTheory, Applications and Implementation\nAuthor(s): Dinh Thai Hoang, Nguyen Van Huynh, Diep N. Nguyen, Ekram Hossain, Dusit Niyato\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: Wiley-IEEE Press\nISBN-13: 9781119873679, 978-1119873679\nSynopsis\nDeep Reinforcement Learning for Wireless Communications and Networking Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems 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 disc.