Multi-Armed Bandits

Discover the fascinating world of decision-making with "Multi-Armed Bandits" by Qing Zhao, published by Springer International Publishing AG in 2019. This insightful paperback, spanning 147 pages, delves into the evolution of bandit problems, originating from Thompson's initial 1933 proposition for clinical trials. The book explores the enduring interest these problems have garnered from various research communities and highlights their extensive applications across multiple domains. Whether you're a researcher, practitioner, or simply curious about the intricacies of decision theory, this book offers valuable insights into the strategies and implications of multi-armed bandits. Enhance your understanding of this critical area in statistical analysis and machine learning with Qing Zhao's expert guidance.