# Genetic Neural Network Flappy Bird

Status: archived
- repo: https://github.com/afonsocraposo/Genetic-Neural-Network---FlappyBird



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    <iframe width="560" height="315" src="https://www.youtube.com/embed/1PUq66TIl-U" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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I developed a genetic algorithm that improves a neural network through out iterations. Like every evolution algorithm, it has three main events: reprodution, mutation, and death. So in each of this events, the weights of a neural network that controlls the behaviour of the Flappy Bird might change.

This makes it that the birds become smarter overall through out time. In the demo above you can see how they compete in each iteration and they progressively improve together.

![Screenshot of learning simulation](screenshot.png "Screenshot from Youtube video. Here you can see multiple birds competing and learning")