TomaszRewak/ML-games
Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
This project helps game developers and AI enthusiasts experiment with creating intelligent game characters. You input game environment parameters, and it outputs game objects that learn to navigate or react using basic machine learning techniques like genetic algorithms and neural networks. This is for anyone interested in designing simple, adaptive AI behaviors within a game.
285 stars. No commits in the last 6 months.
Use this if you want to explore how basic machine learning can be applied to control in-game characters' behavior without needing a complex game engine or AI framework.
Not ideal if you need a production-ready AI for complex game environments or require advanced machine learning algorithms beyond genetic algorithms and simple neural networks.
Stars
285
Forks
31
Language
JavaScript
License
MIT
Category
Last pushed
Nov 14, 2019
Commits (30d)
0
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