Explore the world of reinforcement learning (RL) in this comprehensive interview from the GOTO Book Club. Gain insights from Phil Winder, author of "Reinforcement Learning" and CEO of Winder Research, and Rebecca Nugent, Fienberg Professor of Statistics & Data Science at Carnegie Mellon University. Discover key RL concepts, industry applications, and fundamental aspects such as problem definition and getting started with RL. Learn about the differences between RL and machine learning, its applications in education and long-term strategies, and the challenges of interpreting RL results. Delve into the exciting possibilities and real-life applications of RL algorithms, and understand how this technology is shaping business decision-making processes.