def METHOD_NAME(self):
    if not self.cfg.serial_mode:
        self.start_batcher_thread()
    init_model_data = self.learner.METHOD_NAME()
    # signal other components that the model is ready
    self.model_initialized.emit(init_model_data)
    # runner should know the number of env steps in case we resume from a checkpoint
    self.report_msg.emit({LEARNER_ENV_STEPS: self.learner.env_steps, POLICY_ID_KEY: self.learner.policy_id})
    self.initialized.emit()
    log.debug(f"{self.object_id} finished initialization!")