@fchollet doesn't that include DQN/A3C? 
... seems like super-human performance may be a thing of the past.https://twitter.com/fchollet/status/1023722208508530688 …
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Since both types of systems are program-synthesis engines, you should compare the performance of the programs themselves, not compare biological execution vs. digital execution.
Of course, and that's obvious, the game-solving program generated by any human mind when looking at a game is not the same as A3C/etc (although they are also engineered by humans).
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In one case you have natural program synthesis -- you look at something and immediately, unconsciously come up with an abstract model of it and rules for solving it, and in the other case you have a deliberately engineered program synthesis algorithm.
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This is like comparing biological vision with deep learning. Just because humans have created deep learning systems to recognize objects doesn't mean that these systems are in the same category as the natural object recognition capabilities of humans.
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