Created
October 20, 2017 19:39
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| def monte_carlo_tree_search(board_state, side, number_of_samples): | |
| results_per_move = collections.defaultdict(lambda: [0, 0]) | |
| for _ in range(number_of_samples): | |
| result, move = monte_carlo_sample(board_state, side) | |
| results_per_move[move][0] += result | |
| results_per_move[move][1] += 1 | |
| move = max(results_per_move, | |
| key=lambda x: results_per_move.get(x)[0] / | |
| results_per_move[move][1]) | |
| return results_per_move[move][0] / results_per_move[move][1], move |
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