just click the green flag and let it play
How this works: Every generation has 20 different cats that each last 10 seconds. After 10 seconds is up, it runs a test to see which cat(s) are the closest to the checkpoint. It adds their movement patterns to the Best version table. The next generation uses the Best version table to decide how they're going to move. But, with some randomness the next generations mutate the Best version so that they can improve(or worsen). Bugs: -I currently don't know why more than one cat is selected even though they have different x values Notes: -On average it will take 9-12 generations to reach the checkpoint -I made this completely from nothing -I've never made anything like this before/this is my first project involving machine learning -Expect more like this in the future!
