Before revision:  We reinterpret the corresponding partitions of the state space into the continuation and stopping regions as statistical classification problems with noisy observations. Accordingly, a key new objective that we pursue is efficient design of the stochastic grids formed by the simulated sample paths of the underlying state process.
After revision:  Namely, we introduce adaptive generation of the stochastic grids formed by the simulated sample paths of the underlying state process.