Although back-translation with MAP prediction has been proved to be successful, it suffers from several apparent issues when trained with maximum likelihood estimation (MLE) only, including exposure bias and loss-evaluation mismatch.
it is worth noting that considering a baseline reward into training objective can reduce the variance of the model.