This repository contains course materials for a reinforcement learning curriculum covering deep RL algorithms, policy gradients, Q-learning, and actor-critic methods. Assignments implement RL agents using PyTorch and TensorFlow with Keras, with labs designed to build intuition through practical problems. The course is structured as a git-based MOOC friendly to both English and Russian online students.