parameters: (self, checkpoint_dir)
docstring: Restores the average policy network and the inner RL agent's q-network.
  
      Note that this does not restore the experience replay buffers and should
      only be used to restore the agent's policy, not resume training.
  
      Args:
        checkpoint_dir: directory from which checkpoints will be restored.
docstring_summary: Restores the average policy network and the inner RL agent's q-network.
docstring_tokens: Restores the average policy network and the inner RL agent s q - network .
function: def restore(self, checkpoint_dir):
      """Restores the average policy network and the inner RL agent's q-network.
  
      Note that this does not restore the experience replay buffers and should
      only be used to restore the agent's policy, not resume training.
  
      Args:
        checkpoint_dir: directory from which checkpoints will be restored.
      """
      for name, saver in self._savers:
        full_checkpoint_dir = self._full_checkpoint_name(checkpoint_dir, name)
        logging.info("Restoring checkpoint: %s", full_checkpoint_dir)
        saver.restore(self._session, full_checkpoint_dir)
function_tokens: def restore ( self , checkpoint_dir ) : for name , saver in self . _savers : full_checkpoint_dir = self . _full_checkpoint_name ( checkpoint_dir , name ) logging . info ( "Restoring checkpoint: %s" , full_checkpoint_dir ) saver . restore ( self . _session , full_checkpoint_dir )