AI Driving Simulation

This simulation demonstrates how AI can learn to drive through randomly generated courses using a genetic algorithm.

Each time you click "New Track", the course layout and checkpoint locations are randomized. This forces the AI to develop general driving skills rather than memorizing a specific track.

Key components:

• Random Tracks: Procedurally generated with varying complexity
• Sensors: 5 distance sensors (front, left, right, front-left, front-right)
• Neural Network: 5 inputs, 1 hidden layer (6 neurons), 2 outputs (left/right)
• Fitness: Based on distance traveled and checkpoints reached
• Mutation: Random changes to keep diversity