This summer school offers tutorials and lectures on state-of-the-art machine learning methods for training the next generation of learning robots. The summer school is an extension supported by the many robotics groups around Montreal. Attendees will have the opportunity to learn about current deep reinforcement learning methods, how to apply them to real hardware, sim2real transfer techniques, and experience with legged robotics. This year's version will feature humanoid robots. On the last day of the summer school, teams will use their new skills to compete in designing the best vision-based navigation controller on a quadruped robot to navigate an obstacle course.