03191nam 22006015 450 991098304090332120250122120756.0978981973944810.1007/978-981-97-3944-8(CKB)37313186400041(MiAaPQ)EBC31885441(Au-PeEL)EBL31885441(DE-He213)978-981-97-3944-8(OCoLC)1488794836(EXLCZ)993731318640004120250122d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierMathematical Foundations of Reinforcement Learning /by Shiyu Zhao1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (283 pages)9789819739431 1 Basic Concepts -- 2 State Value and Bellman Equation -- 3 Optimal State Value and Bellman Optimality Equation -- 4 Value Iteration and Policy Iteration -- 5 Monte Carlo Learning -- 6 Stochastic Approximation -- 7 Temporal-Difference Learning -- 8 Value Function Approximation -- 9 Policy Gradient -- 10 Actor-Critic Methods.This book provides a mathematical yet accessible introduction to the fundamental concepts, core challenges, and classic reinforcement learning algorithms. It aims to help readers understand the theoretical foundations of algorithms, providing insights into their design and functionality. Numerous illustrative examples are included throughout. The mathematical content is carefully structured to ensure readability and approachability. The book is divided into two parts. The first part is on the mathematical foundations of reinforcement learning, covering topics such as the Bellman equation, Bellman optimality equation, and stochastic approximation. The second part explicates reinforcement learning algorithms, including value iteration and policy iteration, Monte Carlo methods, temporal-difference methods, value function methods, policy gradient methods, and actor-critic methods. With its comprehensive scope, the book will appeal to undergraduate and graduate students, post-doctoral researchers, lecturers, industrial researchers, and anyone interested in reinforcement learning.Artificial intelligenceMachine learningArtificial intelligenceData processingMultiagent systemsArtificial IntelligenceMachine LearningData ScienceMultiagent SystemsArtificial intelligence.Machine learning.Artificial intelligenceData processing.Multiagent systems.Artificial Intelligence.Machine Learning.Data Science.Multiagent Systems.006.3Zhao Shiyu1785025MiAaPQMiAaPQMiAaPQBOOK9910983040903321Mathematical Foundations of Reinforcement Learning4316642UNINA