If you want to prototype autonomous behavior without cloud inference, GPU clusters, or reinforcement learning frameworks, the browser is enough.

NeuroDrive is a React + p5.js + TensorFlow.js application where a population of simulated cars learns to navigate a noisy, curved race track via neuroevolution.

Why Neuroevolution for This Problem

Instead of differentiable rewards and backprop through time, we use an evolutionary loop:

Initialize many random brains

Run them in a common environment

Score by survival/progress (fitness)

Preserve elites + mutate offspring

Repeat

This works especially well for simple control tasks where evaluating many candidate policies is cheap.

High-Level Architecture

1) Environment: Procedural Track With Boundaries

The track is built from radial points whose radius is perturbed with Perlin noise.…