Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python

Overview

FlappyAI

Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python

Everything Used

  • Genetic Algorithm especially NEAT concept
  • Unsupervised Learning
  • Neural Network
  • NEAT-Python used in developing the Genetic Algorithm (NEAT) and also the Neural Network (Forward Propagation)
  • Matplotlib and Pillow used in the visualization of the neural network
  • Pygame used for creating the game (Environment)

Files Documentation

  • Bin (All of the python scripts are here)
    • environment.py > Helper class that control the game itself (Rendered, Pipe, Bird, Gravity, and also game speed)
    • evolve.py > Genetic Algorithm for generating the best individual
    • main.py > Using the generated best individual from evolve.py and then put the individual to the game alone
    • visualize.py > Helper class that visualize the neural network in another window
  • Img (Assets that is used by the game)
  • Model (Where the best individuals are stored)

Resource

Installation

In case you want to try it on your local machine

  1. Clone
  2. Enter the virtual env
    • in windows powershell you can
    cd Scripts
    ./activate
    
  3. And now you can run the scripts inside /bin
  • You don't need to install the requirements inside requirements.txt when you use the virtual env

Notes

  • In the main.py, default best bird is still hard coded (I think I just deleted the .pickle files but still manage to stored those value, you can customize and make your own bird farm)
  • Using the above hard coded sample, I've never seen the bird fail
  • Game speed, visualization of the neural network can be customized in main.py hyperparam
  • Feel free to reach me in discord
Owner
Eryawan Presma Y.
Eryawan Presma Y.
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