[daveguy]

Agreed. I think that is one of the major drawbacks/limitation/unaddressed aspects of deep learning algorithms -- they are primarily supervised learning. Supervised in the sense that you have to explicitly identify good and bad examples. Determination of what is good and bad itself (figuring out that number at the upper right side of the screen is a score) would be a major breakthrough with implications far beyond game playing. DNN has been a breakthrough with much better accuracy and discrimination capabilities of a complex neural network. It still requires that the researcher point out what is good and bad. We still need a just-as-significant breakthrough in unsupervised learning.