Can we land a SpaceX Falcon Heavy Rocket in simulation using machine learning? Yes! Reinforcement learning is a technique that lets an agent learn how best to act in an environment using rewards as its signal. OpenAI released a library called Gym that lets us train AI agents really easily. We'll use a combination of the Tensorflow and gym libraries to build an RL agent capable of landing a rocket perfectly. The specific technique we're using is called proximal policy optimization, this is an actor-critic algorithm that is really popular. Lets get started!
Code for this video:
https://github.com/llSourcell/Landing-a-SpaceX-Falcon-Heavy-Rocket
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