We-Gold/tinyneat
TinyNEAT is a simple and extensible NEAT (NeuroEvolution of Augmenting Topologies) implementation in TypeScript.
This project helps developers integrate NeuroEvolution of Augmenting Topologies (NEAT) into web-based applications, particularly for training AI agents in games or simulations. It takes an initial configuration and an 'environment' that provides inputs and evaluates agent actions. It then outputs trained AI agents (neural networks) that can perform tasks within that environment. This tool is for web developers and game developers looking to implement evolutionary AI.
No commits in the last 6 months. Available on npm.
Use this if you are a JavaScript/TypeScript developer building a web-based game or simulation and want to use evolutionary algorithms to train AI agents within that environment.
Not ideal if you are looking for a pre-built AI model or a tool that doesn't require programming to set up and customize.
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Language
TypeScript
License
MIT
Category
Last pushed
Aug 09, 2023
Commits (30d)
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