It’s not quite natural selection—creator Johan Eliasson picks which cars get to reproduce—but there’s something amazing about these virtual cars learning to drive around a track without even knowing they are cars.
Teaching a neural network to drive a car. It’s a simple network with a fixed number of hidden nodes (no NEAT), and no bias. Yet it manages to drive the cars fast and safe after just a few generations. Population is 650. The network evolves through random mutation (no cross-breeding). Fitness evaluation is currently done manually as explained in the video.