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DARPA AlphaDogfight Trials Competition Event #3
August 18, 2020 - August 20, 2020Free
The DARPA AlphaDogfight Trials aim to demonstrate the feasibility of developing effective, intelligent autonomous agents capable of defeating adversary aircraft in a dogfight.
AlphaDogfight Trials Competition #3 is being broadcast live from the Johns Hopkins University Applied Physics Lab (JHU/APL) via a ZoomGov Webinar on 18-20 August 2020.
DARPA’s AlphaDogfight Trials seeks to advance the state of artificial intelligence (AI) technologies applied to air combat operations. The trials are a computer-based competition designed to demonstrate advanced AI algorithms that can perform simulated within-visual-range air combat maneuvering, otherwise known as a dogfight. The goal is to use the dogfight as the challenge problem to increase performance and trust in AI algorithms and bring together the AI research and operator communities.
Trial #1 was an exhibition match with the opportunity for teams to compete against different APL developed adversary agents and test the simulation environment at scale. Trial #2, held in January 2020, was the first competition where teams were ranked against each other and tested their agents against more challenging adversary agents. Trial #3 is the final competition. Teams will compete against each other in a bracket-style competition with the top team advancing to fight against a USAF fighter pilot in a simulated dogfight.
AlphaDogfight Trials is a precursor to the DARPA Air Combat Evolution (ACE) program, which involves AI development and demonstration in three program phases – modeling and simulation, sub-scale aircraft, and full-scale aircraft testing. Ultimately, ACE will be flying AI algorithms on live aircraft to demonstrate trusted, scalable, human-level autonomy for air combat.