ALEXANDRIA, Va., Nov. 25 -- United States Patent no. 12,482,367, issued on Nov. 25, was assigned to The Boeing Co. (Arlington, Va.).

"Reinforcement learning-based mid-air collision avoidance" was invented by Denis Osipychev (Huntsville, Ala.) and Dragos D. Margineantu (Tukwila, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method is provided for avoiding a conflict during a flight of an aircraft that includes a defined route of travel. The method includes receiving observations of states of the aircraft and a nearby obstacle in an environment of the aircraft as the aircraft travels the defined route. The method includes applying the states to a reinforcement learning framework to predict states of t...