A constrained optimization approach can exhibit oscillations near the constraint boundary when it must descend back into the feasible set.

“The problem with that of course is uh yeah, what if we are not in the constraint set then effectively it just has to do like effectively greedy descent effectively replaces the reward of the cost function just does descend back down and you you basically you see something like oscillations on the uh uh the boundary stuff like that. Then further ideas went and said well what if we do projection? Right we we effectively have like an approximation of where we expect the the cost surface to be, we project back onto it.”