  In this paper we explore the application of simultaneous move Monte Carlo
Tree Search (MCTS) based online framework for tactical maneuvering between two
unmanned aircrafts. Compared to other techniques, MCTS enables efficient search
over long horizons and uses self-play to select best maneuver in the current
state while accounting for the opponent aircraft tactics. We explore different
algorithmic choices in MCTS and demonstrate the framework numerically in a
simulated 2D tactical maneuvering application.
