You guys think that the snake died because of the lack of left turns, but in reality the snake evolved to the point where it got consciousness and understood that life dedicated to running in circles is not worth living.

ME: "Hello World">>20 errors found.

2:26

My favorite part is every time you think the AI finally has it down, then runs into a wall for no reason

For anyone who wonders why it seems to prefer right turns, I believe that is because it started at the top-left, going towards the right. There was no way for it to turn left. So with 2000 snakes per generation, a LOT of those learned that left is death. Since right worked every time, it simply had no reason to learn that turning left after leaving the wall would be safe.

Left turns:

I think another one reason why this doesn’t get higher because in input it gets -

"What is my purpose ?"

I love that the reason it failed is because that's the one flaw of the technique it's honed from the start

This neural network is incredibly inefficient. Right from the beginning, it learned to not turn left by any means. This video is perfect as a demonstration that neural networks can easily get stuck on a very wrong local optimum.

Generation 30:

Humans:

I have deeply learned that in the end, nothing is left.

congratulations for the big work you've done, not only at the algorithmic part, but the visual part which i can see it's a huge effort to present us your job.

What I think is most fascinating about this project is that the neural network never learned the dimensions of the game board and kept returning to the start

6:07

I think it probably would have learned better if you had started off with a lower number of moves left (maybe like 60?) so that it doesn't have so much security to take its time.

The mind of the Snake in the first few generations, spinning to infinity a pixel away from the food

No one:

I can't imagine how happy would be the first guy who developed these algorithms.... ❤️❤️