Actually there is some recent work on using deep NN's to improve go ai's. This is the same sort of AI used in state of the art image/voice recognition and does

Actually there is some recent work on using deep NN's to improve go ai's. This is the same sort of AI used in state of the art image/voice recognition and does try to go beyond exhaustive analysis to extract some deeper latent structure. It isn't reinforcement learning though. That isn't state of the art (at the moment), instead modern deep NN's are learned by gradient descent. This can be made to work really well but isn't regarded as similar to how biological neural networks work.