Neural Net Controlled Car I'm trying to make an AI car controlled by a neural net. I saw this two videos Neural Network Demo and Q Learning and neural network in 2D car driving and I want to replicate that. I already have the neural net code made, with a back propagation algorithm. The thing is, I don't know how to reinforce the learning of the net. What kind of value should I use to calculate the error? My car currently have 5 inputs (similar to the first video), and outputs 2 numbers, 1 which is plugged in the rotation torque of the car, if it's positive it will rotate clock wise, if it's negative counter clock wise, and how much it will turn is based on it's magnitude, it ranges from 1 1, and I mapped it to a desired min max rotation. The second output number is acceleration, it's from 0 1, but mapped to 10 100 (so it can reverse).