OpenAI Five vs Dota 2 Explained

How did OpenAI's team of 5 neural networks manage to beat some of the world's best DOTA 2 players? Also, why would OpenAI dedicate so much time and energy to defeating video game players? In this video, I'll explain in detail the cutting edge research techniques OpenAI used to create such an incredible AI algorithm, and how it could be used in the real world. These techniques include Long Short Term Memory Recurrent Neural Networks, Proximal Policy Optimization, and a custom rollout system they've dubbed 'Rapid'.

Code for this video:
https://github.com/llSourcell/OpenAI_...

Please Subscribe! And like. And comment. That's what keeps me going.

Want more education? Connect with me here:
Twitter:   / sirajraval  
instagram:   / sirajraval  
Facebook:   / sirajology  

This video is apart of my Machine Learning Journey course:
https://github.com/llSourcell/Machine...

More Learning Resources:
https://blog.openai.com/openai-five/
https://towardsdatascience.com/the-sc...
https://blog.openai.com/openai-baseli...
http://colah.github.io/posts/2015-08-...
   • Introduction to AI for Video Games  

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

Sign up for the next course at The School of AI:
https://www.theschool.ai

And please support me on Patreon:
https://www.patreon.com/user?u=3191693

#SirajRaval #OpenAI #Dota2
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz