test next_action.next_state in MCTS
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@ -156,8 +156,6 @@ class ResNet(object):
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# Note : maybe we can use it for isolating test of MCTS
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#prob = [1.0 / self.action_num] * self.action_num
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#return [prob, np.random.uniform(-1, 1)]
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if state is None:
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return [[0.0] * self.action_num, 0]
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history, color = state
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if len(history) != self.history_length:
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raise ValueError(
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@ -112,11 +112,8 @@ class ActionNode(object):
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return self
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def expansion(self, prior, action_num):
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if self.next_state is not None:
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# note that self.next_state was assigned already at the selection function
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# self.next_state is None means MCTS selected a terminate node
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self.children[self.next_state_hashable] = UCTNode(self, self.action, self.next_state, action_num, prior,
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mcts=self.mcts, inverse=self.parent.inverse)
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self.children[self.next_state_hashable] = UCTNode(self, self.action, self.next_state, action_num, prior,
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mcts=self.mcts, inverse=self.parent.inverse)
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def backpropagation(self, value):
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self.reward += value
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@ -183,8 +180,12 @@ class MCTS(object):
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t0 = time.time()
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next_action = self.root.selection(self.simulator)
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t1 = time.time()
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prior, value = self.evaluator(next_action.next_state)
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next_action.expansion(prior, self.action_num)
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# next_action.next_state is None means the parent state node of next_action is a terminate node
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if next_action.next_state is not None:
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prior, value = self.evaluator(next_action.next_state)
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next_action.expansion(prior, self.action_num)
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else:
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value = 0
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t2 = time.time()
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if self.inverse:
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next_action.backpropagation(-value + 0.)
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