Such sub-optimality averagely balanced by the feature representation raises the possibility of achieving states that have a highquality summary with a low score, since we do not have a genuine score function.
the most important thing in our method is to intentionally design the features of states and the score function, so that the agent can generalize states, while taking into consideration truly-essential features for the required summarization.