Pong NEAT is an implementation of the classic arcade game Pong with a twist: the paddle is controlled not by a human, but by an AI agent trained via NeuroEvolution of Augmenting Topologies (NEAT). NEAT is a genetic algorithm that evolves artificial neural networks with the ability to learn and adapt in complex environments.

• Classic Pong gameplay with a modern AI opponent.
• NEAT implemented for real-time learning and adaptation.
• Ability to train the AI over multiple sessions to improve performance.
• Visualization of neural network performance and decision-making process.

You don't! You watch and see if the AI learns over time to become a Pong champion. However, you can reset the environment and tweak the AI settings to see how different parameters affect learning.

• Python 3.8+
• Pygame
• NEAT-Python

Clone the repository and navigate to the directory!