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Euclid
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In Alpha(Go)Zero, why is the policy extracted from MCTS better than the network one?
I'm still struggling to convince myself. Maybe the following works: Since UCT converges to minimax, the probabilities $\pi$, extracted from MCTS, are almost optimal under our current value estimates (assuming we take enough steps). Now, in some sense $p$ is only as good as a single $v$. In other words, it's only as good as a single value estimate, while $\pi$ is close to optimal under value estimates for many many states... so it's probably better. This sounds half convincing, what do you think?
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