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by YeGoblynQueenne 3037 days ago
>> The value in AlphaZero is in the neural nets used for the expert policy and the value functions and those don’t have anything about the game rules encoded into them at all.

They do, in the form of their inputs that are basically vector representations of a checkerboard. It's obvious that the two (types of) networks can learn something useful from that particular representation of a problem. But- other representations, of different problems? That is not obvious.