🎮 Tetris with Deep Q-Learning

An AI-powered Tetris implementation that learns to play by itself!

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🚀 Overview

This project combines Tetris with Deep Q-Learning, creating an AI that learns to play the game through reinforcement learning.

✨ Features

• 🎮 Tetris game built with Pygame
• 🧠 Deep Q-Learning implementation
• 🚀 Multi-process training
• 💾 Save/Load AI models

🛠️ Installation

# Create virtual environment (recommended)
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install requirements
pip install -r requirements.txt

🎯 How to Use

Start the program:

python main.py

Then:

• Type 'y' to train a new AI
• Type 'n' to watch the trained AI play

📁 Project Structure

├── main.py           # Entry point
├── tetris_game.py    # Game implementation
├── dql_agent.py      # AI agent
├── train.py          # Training functions
├── tetris_env.py     # Gym environment
├── config.py         # Game settings
└── plot_scores.py    # Training graphs

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Contributors

👤 @Tismo
👤 @Alexis
👤 @J0lataupe