Blue Against Red: AlphaDogfight Trials at APL

*Video originally shot in January of 2020*

Johns Hopkins APL plays a critical role in developing and managing the simulation environment and adversary agents for DARPA's AlphaDogfight Trials, in which teams pit their "blue" AIs against APL's "red" AIs. The Lab hosted the first AlphaDogfight Trials competition event in November of 2019, and hosted the second one in the Intelligent Systems Center in January of 2020.

The DARPA AlphaDogfight Trials seeks to advance the state of artificial intelligence technologies applied to air-combat operations. The computer-based competition is designed to demonstrate advanced AI algorithms that can perform simulated, within-visual-range air combat maneuvering, otherwise known as a dogfight. DARPA selected eight technically and organizationally diverse teams to compete in the AlphaDogfight Trials, looking to energize and expand a base of researchers and developers applying AI technologies to complex operational problems.

"Ultimately, with ACE, we will be flying these new algorithms on real live aircraft as we progress toward deployable autonomous air combat systems," said APL's Matt Rich, principal investigator for the trials.

The work is an opportunity to demonstrate APL's technologies and expertise to potential Department of Defense users. The project is also a great example of collaboration across APL sectors and departments.

Learn more about APL's Intelligent Systems Center: https://www.jhuapl.edu/isc
For more information on Johns Hopkins APL: https://www.jhuapl.edu/

Видео Blue Against Red: AlphaDogfight Trials at APL канала JHU Applied Physics Laboratory