[D] Extending CNN RL questions • r/MachineLearning

Hi all, I've been toying with the idea to learn deep reinforced learning for a while and started a project 2 months ago toying around the idea of Deep Minds Atari games. I have made some progress on the idea that there are a couple of convoluted layers that read the board and it all converges to (1, 512) layer that is an input for my QNetwork. But now I have a couple of questions on what is a correct approach to extend the input so that the picture of the current board is not the only input. If for example I would like to build a self driving car I image it would be beneficial to know the speed and wheel angle as a float rather than a picture of any of them. So how do I do that?