This repository provides complete educational materials for a reinforcement learning course originally hosted at Paderborn University. It includes LaTeX lecture notes, Jupyter notebook tutorials with solutions, and links to online lecture videos covering topics such as Markov decision processes, dynamic programming, temporal difference learning, and policy gradient methods. All materials are open source and freely reusable under Creative Commons licensing.