MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
This book offers a mathematical yet approachable introduction to reinforcement learning, providing a deep understanding of core concepts and algorithms. It takes you from fundamental principles to advanced algorithms, presenting mathematical explanations and illustrative examples, often using a grid world task. This is ideal for students, researchers, and practitioners who want to build a solid theoretical foundation in reinforcement learning.
14,922 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you want to understand the 'why' behind reinforcement learning algorithms and their mathematical underpinnings, rather than just how to implement them.
Not ideal if you are looking for a purely practical guide with code implementations for immediate application, as this book focuses on theoretical foundations.
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Feb 22, 2026
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