This project involves training a reinforcement learning agent to play the Snake game. The agent uses a Deep Q-Network (DQN) to learn optimal strategies and improve its performance over time.
game.py: Contains the implementation of the Snake game, including the game logic and rendering.helper.py: Includes helper functions, such as plotting results.model.py: Defines the neural network architecture for the Q-Network and the QTrainer class for training.agent.py: Implements the reinforcement learning agent, including methods for training, saving, and loading the model.arial.ttf: A font file used for rendering text in the game.
- Clone the Repository:
git clone https://github.com/yourusername/snake-ai.git cd snake-ai