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Neuroevolution Racing Sandbox — Watch AI Learn to Drive by Genetic Selection
Watch a population of simple neural-network-controlled vehicles attempt a racetrack, with the best performers selected each generation to breed the next — real neuroevolution (evolving neural network weights through genetic selection rather than backpropagation) playing out visually in real time, generation after generation, as driving behavior visibly improves.
How to use Autonomous Neuroevolution AI Sandbox
- Start the simulation on a racetrack.
- Watch each generation of vehicles attempt the course.
- See the best performers selected to produce the next generation.
- Watch driving behavior improve over generations.
Frequently asked questions
- Is this real machine learning, or a scripted animation?
- Real neuroevolution — vehicle neural network weights are genuinely evolved through genetic selection (mutation and crossover of the best performers) generation after generation, not pre-scripted.
- How is this different from typical neural network training?
- Standard training uses backpropagation with labeled data; neuroevolution instead evolves the network's weights directly through a genetic algorithm, useful when there is no clear gradient to backpropagate, like raw driving performance on a track.
- Can I design a custom track?
- Track layout affects what strategies get selected for, so trying different layouts is a good way to see how the evolved behavior adapts.
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