Neuroevolution in Typescript

Neuroevolution

Neuroevolution, or neuro-evolution, is a form of machine learning that uses evolutionary algorithms to train artificial neural networks. It is most commonly applied in artificial life, computer games, and evolutionary robotics. A main benefit is that neuroevolution can be applied more widely than supervised learning algorithms, which require a syllabus of correct input-output pairs. In contrast, neuroevolution requires only a measure of a network's performance at a task. For example, the outcome of a game (i.e. whether one player won or lost) can be easily measured without providing labeled examples of desired strategies.

Motivation

This library has been greatly influenced by xviniette. My motivation was to rewrite it in TypeScript.

Usage

import * as Neuroevolution from './node_modules/neuroevolution-typescript/main';

Changelog

Learn about the latest improvements

Contributing

Want to correct a bug, contribute some code, or improve the codes? Excellent! Let me know! Please read CONTRIBUTING.md for details on our code of conduct.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.