Neural network racing cars around a track

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.

Car picture by Unlucky Studio:

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Track background created by Keely for Quickrally and modified a bit:

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Background music by Trevor Lentz:

Coding by Johan Eliasson in 2019.

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