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Bob was created using matter.js for the physics and a very simple neural network, with no hidden layers or biases. I did not use any Machine Learning libraries for this; I did it from scratch in JavaScript (see ml.js). This uses very simple evolution: Bobs die if their head goes below the red line, and the ones that move furthest may reproduce and evolve. Also, the activation function is a sine wave because it works best that way. Surprisingly, after hours of intense coding and tweaking, Bob actually learned how to run and skip (I call it running and skipping, it's not exact)! This project is of the most complex ones I have ever done, and I am honestly shocked that I got it working. However, I can't stop it from falling after around 4 steps. This is from a competition between me and n8progrmas…
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In this tutorial, we are going to make a walking or running AI from scratch in JavaScript, with matter.js as the physics engine. If you don't plan on using JavaScript or matter.js, you can certainly follow along, but you will have to rewrite the code. If you would like to watch a video about this, go here. The final project can be seen here, and the GitHub repository is here.
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Over half of the source code is just making the robots exist. If you haven't used matter.js before, you can download it here. You can read the whole documentation here, but the functions we will need are: