PySnakeAI is a project that trains an AI agent to play the classic Snake game using deep reinforcement learning. The project is implemented using PyTorch and Pygame and provides a fun and interactive way to learn about reinforcement learning and AI.
#Project Structure:
The project contains the following files:
game.py: This file contains the implementation of the Snake game using Pygame.
agent.py: This file contains the implementation of the AI agent and the training loop.
model.py: This file contains the implementation of the neural network used by the AI agent to learn how to play the game.
helper.py: This file contains helper functions for plotting and visualization.
requirements.txt: This file contains the list of python packages used in project.
#Requirements:
This project used Python 3.7.16. All other required packages are listed in the requirement.txt
#Getting Started To get started with the project, you can follow these steps:
Clone the repository to your local machine.
Install the required dependencies using pip install -r requirements.txt.
Run the agent.py script.
#Conclusion:
PySnakeAI provides a fun and interactive way to learn about reinforcement learning and AI by training an AI agent to play the classic Snake game. The project is implemented using PyTorch and Pygame and provides a simple and easy-to-understand codebase that can be used as a starting point for more complex reinforcement learning projects.