This course offers a deep dive into the mathematical principles that underlie reinforcement learning (RL), bridging the gap between theory and application. Designed for advanced undergraduates, graduate students, and professionals with a background in mathematics and machine learning, the course covers key mathematical concepts that form the foundation of modern RL algorithms.