Fiscal Year	2019
Division	Graduate School of Operational & Information Sciences
Department	Operations Research
Investigator(s)	Yoshida, Ruriko
Sponsor	Air Force Institute of Technology (Air Force)
Summary	We would like to control an unmanned aerial vehicle (UAV) without human interaction. In order to do so, a UAV has to predict 1. its safe path 2. its target’s path from the input vision in a short amount of time. In this proposed research we would like to apply deep learning methods to train a machine on the path for a UAV as well as its path to its target efficiently.
Keywords	Deep Learning Dueling Networks Q-networks UAV
Publications	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal