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Reinforcement Learning: Mathematical Foundations and Algorithmic Principles

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Description

This book explains the fundamental principles of reinforcement learning through math ematics. It is therefore recommended for readers who wish to build a systematic foundation in reinforcement learning. The intended audience ranges from undergraduate students in science and engineering with an interest in mathematics to graduate students in related fields. It is also a worthwhile challenge for practicing engineers with a solid mathematical background who want to apply reinforcement learning in industry. This book is neither an academically exhaustive monograph nor a popular-audience book. Rather, it aims to present the minimum knowledge needed by practicing engineers and students who want to understand reinforcement learning more mathematically. The presentation is not intended to be fully rigorous in a mathematical sense; that is not the purpose of this book. Instead, some rigor is deliberately traded for intuition and conceptual understanding

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
06 June 2026
Listed Since
08 June 2026

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