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| def act(self, state): | |
| if self.epsilon > np.random.rand(): | |
| # explore | |
| return np.random.choice(ACTION_SPACE) | |
| else: | |
| # exploit - only use the online network to decide which action to take | |
| # if allowed by epsilon/the exploration factor | |
| state = self._reshape_state_for_net(state) | |
| q_values = self.online_network.predict(state)[0] | |
| return np.argmax(q_values) |
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