apssouza22/neuroevolution

In this project we combine Artificial Neural Network and Genetics Algorithms to build powerful AI

30
/ 100
Emerging

This project helps game developers create intelligent agents that learn how to play or navigate games through simulated evolution, rather than traditional programming or backpropagation. You provide the game environment and define how well an agent performs, and the system outputs optimized 'brains' (neural networks) for your game characters. This is ideal for game developers building AI for in-game entities like self-driving cars, strategic game pieces, or characters in a platformer.

No commits in the last 6 months.

Use this if you are a game developer looking to implement AI that can learn complex behaviors within your game world through an evolutionary process.

Not ideal if you are looking for a general-purpose machine learning library for tasks outside of game AI or prefer traditional neural network training methods like backpropagation.

game-development game-ai evolutionary-algorithms simulation agent-behavior
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

19

Forks

2

Language

JavaScript

License

MIT

Last pushed

Mar 02, 2023

Commits (30d)

0

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