While scheduled sampling has been empirically successful, its training objective has a drawback: because the procedure directly incorporates greedy decisions at each time step, the objective is discontinuous at parameter settings where previous decisions change their value.
gradients near these points are non-informative and scheduled sampling has difficulty assigning credit for errors.