EPISODE · Feb 21, 2018 · 25 MIN
Landing a SpaceX Falcon Heavy Rocket
from Siraj Raval
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 Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://www.youtube.com/watch?v=2pWv7GOvuf0 https://www.youtube.com/watch?v=e3Jy2vShroE https://www.youtube.com/watch?v=lvoHnicueoE https://www.youtube.com/watch?v=xWe58WGWmlk https://www.youtube.com/watch?v=PtAIh9KSnjo https://www.youtube.com/watch?v=2xATEwcRpy8 Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693
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Landing a SpaceX Falcon Heavy Rocket
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