  We present our latest research in learning deep sensorimotor policies for
agile, vision-based quadrotor flight. We show methodologies for the successful
transfer of such policies from simulation to the real world. In addition, we
discuss the open research questions that still need to be answered to improve
the agility and robustness of autonomous drones toward human-pilot performance.
