Method save

examples/reinforcement_learning/tutorial_PPO.py:204–213

save trained weights :return: None

(self)

        return np.clip(action, -self.action_bound, self.action_bound)

    def save(self):
        """
        save trained weights
        :return: None
        """
        path = os.path.join('model', '_'.join([ALG_NAME, ENV_ID]))
        if not os.path.exists(path):
            os.makedirs(path)
        tl.files.save_weights_to_hdf5(os.path.join(path, 'actor.hdf5'), self.actor)
        tl.files.save_weights_to_hdf5(os.path.join(path, 'critic.hdf5'), self.critic)

    def load(self):
        """