This project implements Q-Learning to create an intelligent agent for the Amoung-us Game. The agent learns optimal strategies to navigate the game environment and achieve the highest score possible.
The Amoung-us follows the classic rules where the ai controls a playr to kill another player , avoiding collisions with the players's body and walls. Q-Learning is employed to enhance the agent's decision-making capabilities.
-
Clone the repository:
git clone https://github.com/your-username/Q-Learning-Snake-Game.git
-
Install the required dependencies:
pip install pygame
Run the Snake Game using the following command:
python snake_game.py
Thank you to all contributors for their valuable contributions!