An introduction to reinforcement learning with AWS RoboMaker Amazon Web Services

Robotics often involves training complex sequences of behaviors. For example, consider a robot designed to follow or track another object. Although the goal is easy to describe (the closer the robot is to the object, the better), creating the logic that accomplishes the task is much more difficult. Reinforcement learning (RL), an emerging Machine Learning technique, can help develop solutions for exactly these kinds of problems. This post is an introduction to RL and it explains how we used AWS RoboMaker to develop an application that trains a TurtleBot Waffle Pi to track and move toward a TurtleBot Burger.