Created
December 12, 2017 00:45
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| def get_action(self, state): | |
| return self.sess.run(self.predicted_action, {self.states: state}) | |
| if random.random() < self.exploration: | |
| return np.array([[random.sample(range(1, 35), 4*self.max_layers)]]) | |
| else: | |
| return self.sess.run(self.predicted_action, {self.states: state}) |
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