Trained Snake 🐍

• Imagine a computer playing Snake game better than a Human. With that thought, I developed this project....
• I created the project using pygame and Reinforcement learning.
• Reinforcement learning is a type of machine learning that enables an agent to learn in an environment by trial and error using feedback from its own actions and experiences.
• First I created the classic Snake Game using Python and Pygame. Then I created and train a neural network using PyTorch that can play the game better than most humans.
• Deep Q Learning is used to train the model, QNet and QTrainer is used to train the model though the use of Pytorch.

Initial setup of the Project

Intermediate State of the Training

Final State of the Model

• After around thirty minutes and 450 games, I found the accuracy score of 47 which is very complex for a human to reach.