Optimization-Driven Deep Reinforcement Learning for Wireless Networks

This book explores the integration and interplay of model-based optimization and model-free deep reinforcement learning (DRL).  It addresses the growing complexity of future wireless networks. This book begins with a concise overview of foundational DRL algorithms and then delves into advanced frameworks, including optimization-driven DRL, hierarchical DRL, multi-agent DRL, Bayesian-enhanced DRL, ...