  This demo abstract presents the visualization of deep reinforcement learning
(DRL)-based autonomous aerial mobility simulations. In order to implement the
software, Unity-RL is used and additional buildings are introduced for urban
environment. On top of the implementation, DRL algorithms are used and we
confirm it works well in terms of trajectory and 3D visualization.
