アンサンブル型模倣学習における一般化合意形成手法

抄録

In imitation learning, ensemble learning, in which multiple models with the same inputs and outputs make a consensu as the average of their outputs, is effective to stabilize behaviors. However, the average is one of the representative values, so the others are expected to have different characteristics. This paper, therefore, investigates a generalized consensus method in imitation learning.