learning and bit in a network that takes the embeddings from the beta ba and compare it with regular Q learning and so on the left here we see what happens in the training environments the training environments regular Chi learning and Darla's which is few learning with the beta V representation learning do about equally well but when we look at a new task related task but looks very different by doing the representation line which is shown at the bottom right we have to get much better performance top left is