Mastering Reinforcement Learning with Python

Section 1: Reinforcement Learning Foundations

This part covers the necessary background of Reinforcement Learning (RL) to prepare you for the advanced material in later chapters. This includes definitions, mathematical foundations, and an overview of RL solution methodology.

This section contains the following chapters:

• Chapter 1, Introduction to Reinforcement Learning
• Chapter 2, Multi-Armed Bandits
• Chapter 3, Contextual Bandits
• Chapter 4, Makings of a Markov Decision Process
• Chapter 5, Solving the Reinforcement Learning Problem