Kibidango

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Iterated Distillation and Amplification
AGZ’s policy network p is the learned model.

I found this bit slightly confusing. As far as I understand from the AGZ Nature paper, AGZ does not have a separate policy network p, but uses a single network which outputs both the learned policy p and the estimated probability v that the current player will win the game. Is this what the sentence is referring to?