Rather than Markov Decision Processes (MDPs), partially observable MDPs (POMDPs) potentially provide a much more powerful framework for robust dialog modeling since they consider nbest hypotheses to estimate the distribution of the belief state (Williams and Young, 2007).
following that, we explain greedy selection with n-best hypotheses in Section 5.