BEACON: Belief-Enabled Adaptive CONtrol for Imitation Learning under Uncertainty
Robot manipulation tasks often involve hidden state information that cannot be directly observed and must be inferred through sequential physical interactions. In such partially observable settings, conditioning an imitation learning policy directly on the recent raw observation history leads to poor performance. This...