US Patent Issued to HRL LABORATORIES on April 8 for "Robust, scalable and generalizable machine learning paradigm for multi-agent applications" (California Inventors)

ALEXANDRIA, Va., April 9 -- United States Patent no. 12,271,787, issued on April 8, was assigned to HRL LABORATORIES LLC (Malibu, Calif.).

"Robust, scalable and generalizable machine learning paradigm for multi-agent applications" was invented by Deepak Khosla (Camarillo, Calif.) and Sean Soleyman (Calabasas, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Described is a learning system for multi-agent applications. In operation, the system initializes a plurality of learning agents. The learning agents include both tactical agents and strategic agents. The strategic agents take an observation from an environment and select one or more of the tactical agents to produce an action that is used to control...