I find the comparison a bit facile. Expert systems were taylored to the problem at hand. The components of the solution here are based on learning and are mea

I find the comparison a bit facile. Expert systems were taylored to the problem at hand. The components of the solution here are based on learning and are meant to address what are widely believed to be important and general facets of human cognition and/or fundamental machine learning problems (e.g. credit assignment, episodic and short-term memory, meta-cognition). It's unclear how general the solutions here actually are, but they certainly don't look very specific to ATARI, on the face of it. It's also worth noting that DeepMind's research has a pretty good track record of not being overly engineered to solve specific tasks. E.g. DQN, AlphaGo and successors (with the possible exception of Alpha*?)...