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I'm wanting to build a NN that can create a policy for each possible state. I want to combine this with MCTS to eliminate randomness so when expansion occurs, I can get the probability of the move to winning.

I am confident (I believe) in how to code the neural network, but the input shape is the hardest part here. I am firstly wanting to try with 2 player chess and then expand to 3 player chess.

What is the best vector/matrix to use for the input in a chess game? How should the input be fed into a neural network to output the most promising move from the position? In addition, what format should it look like (i.e [001111000], etc.)?

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  • $\begingroup$ Coincidentally I just started coding this up a few days ago, and I had the same question. I highly recommend reading the AlphaZero paper, they give a decent description of how they encoded the states. $\endgroup$
    – harwiltz
    Oct 9 '20 at 13:28

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