Implement Deep Q-Learning with PyTorch and Train Flappy Bird | DQN PyTorch Beginners Tutorial #1

In this Deep Q-Learning, aka Deep Q-Network (DQN), tutorial series, we'll code up the algorithm with PyTorch and train FlappyBird. Let's get started by setting up our development environment and install FlappyBird Gymnasium: github.com/mar...
Github code: github.com/joh...
Support me here: www.buymeacoff...

[@johnnycode]

If you just want the high-level Deep Q-Learning overview instead.: ua-cam.com/video/EUrWGTCGzlA/v-deo.html or train AI to play Atari with no coding or experience required: ua-cam.com/video/aQsaH7Tzvp0/v-deo.html

[@woohoocares1515]

Johnny, you are amazing, seriously. I am so happy I found your channel, it is a gold mine.

[@abrahambernoulli390]

Awesome series. Extremely helpful

[@mm-tm5en]

Hi Johnny, at minute 3:58 when you open a new directory, is that just a simple normal folder you created on your desktop or does it have to be saved at a certain directory?

[@johnnycode]

It is just a simple normal empty folder and it can be created anywhere on your computer.

[@果茶哥]

Can these project run in linux？

[@johnnycode]

Yes it can.

[@ANKUSHKUMAR-jr1pf]

Great Video Johnny :) Thankyou so much for the series