Build Reinforcement Learning Controller for Lunar Lander

From industrial automation with robotic arms to optimizing machine movement, in recent years many entry level mechanical engineering jobs in the US started requiring knowledge of machine learning based controlling techniques.   In this Build Project, you will wear the hat of Mechanical Engineer and you will develop an interactive Google Colab with reinforcement learning based controller that will control a simulated lunar lander. Under the supervision of an experienced industry expert you’ll learn the basic principles of reinforcement learning controllers and you will implement one from scratch using Python in a simulation environment and test it. You will become familiar with how mechanical engineers approach designing controllers for their mechanical systems and learn how to use common industry tools like Python.  All this will happen in an environment that simulates the operations of a real mechanical and control engineering team.