  In reality, it is often more efficient to ask for help than to search the
entire space to find an object with an unknown location. We present a learning
framework that enables an agent to actively ask for help in such embodied
visual navigation tasks, where the feedback informs the agent of where the goal
is in its view. To emulate the real-world scenario that a teacher may not
always be present, we propose a training curriculum where feedback is not
always available. We formulate an uncertainty measure of where the goal is and
use empirical results to show that through this approach, the agent learns to
ask for help effectively while remaining robust when feedback is not available.
