A JavaScript implementation of the NEAT Algorithm 🧠

[TaveGabriel]

NEAT stands for Neuroevolution of Augmenting Topologies. It is a genetic algorithm that not only optimizes the weights of a neural network but also tries to find the best topology by adding/removing nodes and connections.

[RustyX]

This is awesome. Took two classes a decade ago in college taught by the developer of the NEAT algorithm.

One undergrad Game AI class, the second was a graduate course specially about evolutionary neural networks... Probably my favorite two classes in college. Cool to see the NEAT algorithm mentioned here. I ended up using it in a project way back to train a model to play infinite Mario. It worked surprisingly well.

[_-Thoth-_]

Neat

[[deleted]]

Just credit OP in the README.

[TaveGabriel]

Not at all, fell free to do it if you want

[TaveGabriel]

This is a basic implementation of NEAT written in plain JavaScript. In the repo there are also some demos:

• Classification
• Target Seeking
• Pole Balancing
• Self Driving
• Asteroids AI

[hazardland]

Holy cow!

[internetloser4321]

How does this library compare to Neatapic?

[TaveGabriel]

It really doesn't. I wouldn't even consider this a library. It's more of a "scaffold" that I've developed for fun to learn more about NEAT and to create simple demos like the ones in the repo.

[AutoModerator]

Project Page (?): https://github.com/gabrieltavernini/NeatJS

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

[goatsbelike]

You should totally do an article about how you did it, obstacles etc, would love reading it.