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carlo's Issues

Backpropagation assigns same value to both players

Backpropagation should assign "1" as value to a node in case of win and "0" in case of loss. The current implementation assigns after a rollout the same value to all nodes. It should however assign different values, depending on who is the currentPlayer. Right now for one player not the best moves are picked during the Selection phase, but the worst moves. Because of this the algorithm picks rather random moves.

I have a fix I'm going to commit.

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