Specifically, when learning F prune in the worst case there can be ambiguity about which of the non-optimal actions to retain, and for only some of those an effective F score can be found.
we observe a loss decomposition in terms of the individual losses due to F prune and F score , and develop a stage-wise learning approach that first learns F prune and then learns a corresponding F score .