Before revision:  More generally,  there is no need to tune the stopping point of a properly randomized ensemble of greedily optimized base learners.
After revision:  More generally, randomized ensembles of greedily optimized learners implicitly perform optimal early stopping out-of-sample. So there is no need to tune the stopping point of a properly randomized ensemble of greedily optimized base learners.