The paper, Deep Recurrent Q-Learning for Partially Observable MDPs, talks about stacking multiple observations in the input of a convolutional neural network.
How does this exactly work? Do the convolutional filters loop over each observation (image)?
(I know this isn't the right group to request this, but I'll highly appreciate if someone could also suggest a framework that helps with this.)