Ok this is my first try in machine learning, this is DQN for Pong!

I want to add my own flavor by adding pressure touch to paddle movements, such that the harder I press in a direction it moves faster to a max speed.

Does it makes sense if I apply the floating point outputs of sigmoid directly to speed control? Or should I make multiple outputs to represent different "steps" of pressure/speed?