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02_CartPole-reinforcement-learning_DDQN
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| def update_target_model(self): | |
| if not self.Soft_Update and self.ddqn: | |
| self.target_model.set_weights(self.model.get_weights()) | |
| return | |
| if self.Soft_Update and self.ddqn: | |
| q_model_theta = self.model.get_weights() | |
| target_model_theta = self.target_model.get_weights() | |
| counter = 0 | |
| for q_weight, target_weight in zip(q_model_theta, target_model_theta): | |
| target_weight = target_weight * (1-self.TAU) + q_weight * self.TAU | |
| target_model_theta[counter] = target_weight | |
| counter += 1 | |
| self.target_model.set_weights(target_model_theta) |
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