Optimization-Driven Deep Reinforcement Learning for Wireless Networks
by Shimin Gong, Dusit Niyato, Bo Gu, Kaibin Huang
Optimization-Driven Deep Reinforcement Learning for Wireless Networks explores how deep reinforcement learning and mathematical optimization intersect in wireless communications. It offers a focused resource for readers studying machine learning, network optimization, telecommunications, and engineering approaches to intelligent wireless networks.
About This Book
Optimization-Driven Deep Reinforcement Learning for Wireless Networks examines the intersection of deep reinforcement learning and wireless networking.
The book focuses on optimization-driven approaches, highlighting the role of mathematical optimization in learning-based network methods.
It is relevant to readers interested in machine learning, wireless communications, network optimization, and related engineering research.
Written by Shimin Gong, Dusit Niyato, Bo Gu, and Kaibin Huang, this title presents a focused treatment of its subject.
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