Neural Network Trained using Genetic Algorithm which acts as the brain for the snake.
The snake looks in the 8 direction for food, body part and the boundary which acts as the 24 input for the Neural Network.
To install the dependencies, run on terminal :
python3 -m pip -r requirements.txt
├── Arena.py # class that helps in setting the boundary and parameters of the arena
├── brain.py # class that deals with the neural network
├── colors.py # consists of colors used in the whole project
├── game.py # lets the saved snakes to run in
├── samples
│ ├── generation23.gif
│ └── generation6.gif
├── input.py # parametes to apply genetic algorithm on your own
├── README.md
├── requirements.txt # python dependencies required
├── saved
│ └── top_snakes.pickle # saved list of objects of snake class for each generation
└── snake.py # class snake that handles all properties of snake
To train the neural network using Genetic Algorithm, alter the parameters according to your needs inside the input.py, then run the following command specifying the path to save the optimised result as a pickle file (a list is stored, containing the best snake from each generation):
python3 Genetic_algo.py --output saved/test.pickle
To run or test the snakes saved previously, run the following commands specifying the path to the saved file :
python3 game.py --input saved/test.pickle
To skip steps, simply add the -s or --steps argument to the call
python3 game.py --input saved/test.pickle --steps 50
- Inspired by the video of Code-Bullet. Link : https://www.youtube.com/watch?v=3bhP7zulFfY
- Game Visual inspired by YuriyGuts. Link : https://github.com/YuriyGuts/snake-ai-reinforcement