IrmaVeoll/Neatron

Yet another NEAT implementation

27
/ 100
Experimental

This helps game developers and researchers create AI behaviors for games or simulations without extensive manual coding. You provide basic performance feedback to the system, and it automatically evolves neural networks to learn complex tasks. Game AI designers, simulation engineers, and researchers experimenting with AI in virtual environments would find this useful.

No commits in the last 6 months.

Use this if you are developing AI for Unity3D games or simulations and want to automatically evolve intelligent behaviors instead of traditional programming.

Not ideal if you need AI for non-Unity platforms or require deep learning models that are not based on neuroevolutionary principles.

game-development game-ai simulation-ai evolutionary-algorithms unity3d-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

14

Forks

1

Language

C#

License

MIT

Last pushed

Sep 27, 2019

Commits (30d)

0

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