Actually there is some recent work on using deep NN&#x27;s to improve go ai&#x27;s. This is the same sort of AI used in state of the art image&#x2F;voice recognition and does try to go beyond exhaustive analysis to extract some deeper latent structure.<p>It isn&#x27;t reinforcement learning though. That isn&#x27;t state of the art (at the moment), instead modern deep NN&#x27;s are learned by gradient descent. This can be made to work really well but isn&#x27;t regarded as similar to how biological neural networks work.