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DFS #22

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@cameron-martin cameron-martin commented Jun 2, 2020

This is an experimental version using iterative deepening depth-first minimax search with alpha-beta pruning. The plan is to use neural move ordering to outperform other versions.

Cameron Martin added 8 commits June 3, 2020 16:05
Apparently previously the implementation was wrong, according to the number of nodes that were being visited.
This includes decreasing payoff as depth increases, to increase the quality of responses. The idea here is that moves which "hold off" the opponents win to a later stage of the game are better moves.
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