AI-GameOptimization

• 🕹️ Introduction
• 🫐 Showcase
• ✨ Features
• 💻 Installation
• 🚀 Usage
• 📁 Project Structure
• 🗺️ Game Levels
• 🤝 Contributing
• 📜 License

Welcome to the AI-GameOptimization repository! This project explores the use of optimization algorithms to solve complex games. Currently, it focuses on solving the Sokoban game using Q-learning, with plans to extend to genetic algorithms and other optimization techniques in the future.

Q-Learning Implementation: An AI agent that learns to solve Sokoban puzzles through reinforcement learning. State Management: Efficient representation and management of game states. Deadlock Detection: Mechanisms to detect and avoid deadlocks in the game. Training and Evaluation: Tools to train the AI agent and evaluate its performance.

To get started, clone the repository and compile the code using a C++ compiler.

git clone https://github.com/Mhijazi16/AI-GameOptimization.git
cd AI-GameOptimization

Make sure you have a C++ compiler installed. You can use g++ for compilation:

g++ -o game main.cpp

Initialize the Game: Run the compiled executable to start the game.

./game

Select Level: Enter the level number you wish to play when prompted.

Train the AI: Enter the number of episodes to train the AI agent.

Solve the Game: The AI agent will attempt to solve the game using the trained Q-table. Follow the prompts to see the AI's progress.

main.cpp: The main entry point for the application. Point.h: Defines the Point structure and related operations. Context.h: Contains constants and configurations for the game. State.h: Defines the State structure and methods for managing game states. Helper.h: Includes helper functions for initializing the game, applying moves, generating child states, and implementing the Q-learning algorithm.

Level 1
Episodes to solve : 5
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🪵      🍗🪵
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Level 2
Episodes to solve : 40
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⛺          🫙     🍖 🎪    ⛺
⛺  🫙🎪        🎪    🎪    ⛺
⛺  🍖🎪        🎪          ⛺
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⛺    🎪        🎪    🎪  🍖⛺
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Level 3
Episodes to solve : 110
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🗿        🗿🗿🗿🗿          🥩🗿
🗿    🛒  🥩          🗿🗿🗿🗿🗿
🗿  🗿    🗿🗿🗿    🛒🗿        
🗿  🗿🗿  🗿  🗿      🗿        
🗿🛒      🗿🗿🗿      🗿🗿🗿    
🗿🥩          🛒        🥩🗿    
🗿🗿🗿🗿🗿🗿🗿🗿🗿🗿🗿🗿🗿🗿   

Contributions are welcome! If you have suggestions for improvements or new features, please create an issue or submit a pull request. Follow these steps to contribute:

Fork the repository. Create a new branch (git checkout -b feature-branch). Make your changes. Commit your changes (git commit -m 'Add some feature'). Push to the branch (git push origin feature-branch). Open a pull request.