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The cars have 9 sensors measuring distance from objects. They feed the distances to a neural network and determine the best steer angle and speed. They also have a living cost, if they dont reach the goal they die and receive negative reward
Environment
The environment is pretty simple. The cars have to dodge a couple walls and reach the green goal.
Results
Cars start off making random actions
The best generation then creates children, so the median fitness increases after a couple generations
After a couple more generations most of the car agents are reaching the goal and the median reward is over 100k.