US Patent Issued to ROYAL BANK OF CANADA on June 10 for "System and method for multi-type mean field reinforcement machine learning" (Canadian Inventors)

ALEXANDRIA, Va., June 18 -- United States Patent no. 12,327,167, issued on June 10, was assigned to ROYAL BANK OF CANADA (Montreal).

"System and method for multi-type mean field reinforcement machine learning" was invented by Sriram Ganapathi Subramanian (Waterloo, Canada), Pascal Poupart (Waterloo, Canada), Matthew Edmund Taylor (Edmonton, Canada) and Nidhi Hegde (Edmonton, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system for a machine reinforcement learning architecture for an environment with a plurality of agents includes: at least one memory and at least one processor configured to provide a multi-agent reinforcement learning architecture, the multi-agent reinforcement learning model based...