Hey guys, for my final school project I developed a snake AI with reinforcement learning that actually wins the game. I used three.js to create the frontend and tone.js for the sound and music. The particles are created with THREE.BufferGeometry and THREE.PointsMaterial. Any feedback?
Demo:
Screenshot:
Awesome 
Agree. This is freakin awesome. Does it generalize to different board sizes too, or would that require retraining?
Hhaha just saw the end… ESCAAAPE!!! A+++
I assume that it would also run on other board sizes, as it was not trained with the board as input. Haven’t tried it though! Thanks for your feedback.
That’s very cool! Great work!! - I couldn’t watch the video with audio for reasons, so I might have missed it. But how did you go about training it with reinforcement learning if I may ask? Is there a tutorial somewhere perhaps?
I used Deep Q-Learning with Tensorflow, which leverages the GPU acceleration in the browser. Still took a day to train on my pc. I haven’t seen any decent tutorials on reinforcement learning with Tensorflow.js tbh
Kudos, a very interesting project and well executed
