def METHOD_NAME(
    params: networks_lib.Params, observation_t: networks_lib.Observation,
    action_t: networks_lib.Action) -> networks_lib.Value:
  """Denormalize the n-step return for proper weighting in the planner."""
  normalized_n_step_return_t = n_step_return(params, observation_t,
                                             action_t)
  return running_statistics.denormalize(normalized_n_step_return_t,
                                        mean_std_n_step_return)