change mcts steps
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@ -246,7 +246,7 @@ class strategy(object):
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self.simulator.history = copy.copy(history)
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self.simulator.board = copy.copy(history[-1])
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state = self.data_process(self.simulator.history, color)
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mcts = MCTS(self.simulator, self.evaluator, state, self.simulator.size ** 2 + 1, inverse=True, max_step=100)
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mcts = MCTS(self.simulator, self.evaluator, state, self.simulator.size ** 2 + 1, inverse=True, max_step=10)
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temp = 1
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prob = mcts.root.N ** temp / np.sum(mcts.root.N ** temp)
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choice = np.random.choice(self.simulator.size ** 2 + 1, 1, p=prob).tolist()[0]
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