This repository hosts the LaTeX source for slides and a published Springer book on the mathematical foundations of reinforcement learning. The book covers fundamental RL concepts, basic problems, and classic algorithms from a rigorous mathematical perspective, using grid-world examples to illustrate concepts. It is designed as course material for professors and self-learners studying RL theory.