declanoller/neat

Playing OpenAI games with Neuroevolution

20
/ 100
Experimental

This project helps researchers and enthusiasts evolve neural networks to play classic OpenAI gym games. You input the game environment and it outputs a trained network capable of playing the game. This is for anyone interested in applying neuroevolution to create AI agents that can learn to perform tasks in simulated environments.

No commits in the last 6 months.

Use this if you want to experiment with evolving AI agents to play games or solve simulation-based problems without manually designing complex neural network architectures.

Not ideal if you need a pre-trained, high-performance agent for a specific OpenAI game, or if you are looking for deep learning methods that rely on backpropagation.

neuroevolution reinforcement-learning AI-training game-AI simulated-environments
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 7 / 25

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Stars

11

Forks

1

Language

Python

License

Category

flappy-bird-ai

Last pushed

Nov 16, 2019

Commits (30d)

0

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