US Patent Issued to Ciena on Aug. 12 for "Creating a global reinforcement learning (RL) model from subnetwork RL agents" (Canadian Inventors)

ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,388,719, issued on Aug. 12, was assigned to Ciena Corp. (Hanover, Md.).

"Creating a global reinforcement learning (RL) model from subnetwork RL agents" was invented by Christopher Barber (Ottawa), Sa'di Altamimi (Nepean, Canada), Shervin Shirmohammadi (Ottawa) and David Cote (Gatineau, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods are provided for recommending actions to improve operability of a network. In one implementation, a method includes acknowledging a plurality of subnetworks in a whole network, each subnetwork including multiple nodes and being represented by a tunnel group having multiple end-to-end tunnels through the subnetw...