Before revision:  In a first phase, the method relies on the Deep Optimal Stopping algorithm (DOS) proposed in \mbox{%DIFAUXCMD DOS , which learns the optimal stopping rule from Monte-Carlo samples of the underlying risk factors.
After revision:  In a first phase, the method relies on the Deep Optimal Stopping algorithm , which learns the optimal stopping rule from Monte-Carlo samples of the underlying risk factors.