Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python
- 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)
- 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)
In case you want to try it on your local machine
- Clone
- Enter the virtual env
- in windows powershell you can
cd Scripts ./activate - 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
- 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