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You can view these as optimized pattern recognizer regexes. You start with a blank fully connected graph and it eventually converge on a useful function. That graph has many paths encoded in it that represents specific optimal game play.


Isn't this how the neurons and synapses in our brain work, though?


Maybe... there’s some other properties of biological neurons we don’t capture in NNs currently.




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