Intellectual Property India Publishes Patent Application for Hierarchical Multi-Agent Learning Framework With Emergent Task Decomposition Via Latent Intent Encoding And Cross-Agent Policy Distillation

MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085242 A) filed by Cmr Technical Campus; Cmr College Of Engineering & Technology; and Cmr Institute Of Technology on July 11, 2026, for Hierarchical Multi-Agent Learning Framework With Emergent Task Decomposition Via Latent Intent Encoding And Cross-Agent Policy Distillation.

Inventors include G. Aravind; V. Tejaswini; Mr. Y. Mahendra Reddy; Mr. D. Ranadeep Reddy; Mr. D. Jyothi; and Gorige Sangeetha.

The application for the patent was published on July 17, 2026, under issue no. 29/2026.

Abstract: The present invention discloses a system (100) and method for hierarchical multi-agent learning with emergent task decomposition via latent intent en...