code: def resume_training(self, reinforcer, callbacks, metrics) -> TrainingInfo:
          
          if self.model_config.continue_training:
              start_epoch = self.storage.last_epoch_idx()
          else:
              start_epoch = 0
  
          training_info = TrainingInfo(
              start_epoch_idx=start_epoch,
              run_name=self.model_config.run_name,
              metrics=metrics, callbacks=callbacks
          )
  
          if start_epoch == 0:
              self.storage.reset(self.model_config.render_configuration())
              training_info.initialize()
              reinforcer.initialize_training(training_info)
          else:
              model_state, hidden_state = self.storage.load(training_info)
              reinforcer.initialize_training(training_info, model_state, hidden_state)
  
          return training_info
docs: Possibly resume training from a saved state from the storage