ZeroDivisionError: float division by zero about alpha-zero-general HOT 7 OPEN

#191 might help

from alpha-zero-general.

Yes, thanks for pointing this out. However I already dicovered this one and I couldn't find anything similiar in my code. I made sure that I always copy the pieces in the game code. It just seems that mcts is not exploring edges which the players in the arena then want to play. But I guess it should only play discovered moves (s/a) in the arena since it uses greedy search, right?

from alpha-zero-general.

Could you share your code?

from alpha-zero-general.

Could you share your code?

I gladly do: https://github.com/visuallization/alpha-zero-general-hex/tree/master/hex
The relevant files are HexGame.py and HexBoard.py. Furthermore it currently uses the NeuralNet architecture from Othello.

from alpha-zero-general.

I am not working with pass though, like Othello does because there is no pass in Hex.

from alpha-zero-general.

Okay there might be an issue how I represent the canonicalBoard in getCanonicalForm. If I just return the board without inverting it, the issue of not finding the state in self.Nsa does not arise anymore.

def getCanonicalForm(self, positions, player):
        board = HexBoard(self.size)
        board.positions = np.copy(positions)
        return board.positions
        #return player * board.positions

from alpha-zero-general.

@visuallization did you ever figure this out?

I believe from looking at your fork that this issue was resolved, and is a dupe of #191

from alpha-zero-general.