Deep Reinforcement Learning for Wireless Communications and Networking

Theory, Applications and Implementation

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Deep Reinforcement Learning for Wireless Communications and NetworkingComprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systemsDeep 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, res...