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computing_professor OP t1_iva7s6f wrote

Reply to comment by dualmindblade in Training a board game player AI for an asymmetric game by computing_professor

Cool, thanks for the reply. With chess, I always assumed it was just examining the state as a pair (board,turn), regardless of who went first. I study the mathematics of combinatorial games and it's rare to ever consider who moves first, as it's almost always more interesting to determine the best move for any given game state.

Do you have any reading suggestions for understanding AlphaZero? I've read surface level/popular articles, but I'm a mathematician and would like to dig deeper into it. And, of course, learn how to apply it in my case.

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dualmindblade t1_iva9p3g wrote

I would suggest reading the original alphago paper, it's extremely digestible, then skim the AlphaZero one, less detail there because it's a very similar architecture and actually it is simpler than the original. Think of AlphaZero as a scheme for improving the loss function, the actual architecture of the NN part is sort of unimportant, you can think of it as a black box, or maybe a black box with two smaller boxes sticking out of it.

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