Reinforcement learning is emerging as a powerful tool for autonomous driving, enabling complex maneuvers in a wide range of traffic situations. This session demonstrates how to build a reinforcement learning engine for autonomous vehicles on AWS, showing how it receives environmental input from object detection and produces outputs for controlling the vehicle's steering, acceleration, and braking.