This repository contains educational materials for a Reinforcement Learning course, including structured notes and Jupyter notebook implementations of various RL algorithms. The implementations use Keras with TensorFlow backend and interact with OpenAI’s gym environment. Topics cover Markov Decision Processes, dynamic programming, model-free prediction and control, policy gradient methods, and value function approximation.