Intellectual Property India Publishes Patent Application for 'Adaptive Multi-Agent Deep Learning Framework For Real-Time Decision Optimization In Dynamic Environments' Filed by Ms. G. Nirmaladevi; Dipali Manish Patil; Dr. A. Syed Musthafa; Benitha Christinal J; Dr. Vsukanya Doddavarapu; and Mr. Chakrawarti Amit Ravi Vaishali

MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541125021 A) filed by Ms. G. Nirmaladevi; Dipali Manish Patil; Dr. A. Syed Musthafa; Benitha Christinal J; Dr. Vsukanya Doddavarapu; and Mr. Chakrawarti Amit Ravi Vaishali, Chennai, Tamil Nadu, on Dec. 11, 2025, for 'adaptive multi-agent deep learning framework for real-time decision optimization in dynamic environments.'

Inventor(s) include Ms. G. Nirmaladevi; Dipali Manish Patil; Dr. A. Syed Musthafa; Benitha Christinal J; Dr. Vsukanya Doddavarapu; and Mr. Chakrawarti Amit Ravi Vaishali.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "[029] The present invention discloses an Adaptive Multi-Agent Deep Learning Framework designed to achieve real-time decision optimization in dynamic and uncertain environments. The framework consists of multiple autonomous agents equipped with sensing, processing, communication, and decision modules that collaboratively learn and adapt using advanced deep reinforcement learning techniques. A context-aware environment modelling subsystem provides predictive insights into future state transitions, enabling proactive and context-sensitive decisions. A decentralized inter-agent negotiation protocol ensures coordinated behavior, efficient conflict resolution, and optimized resource allocation among heterogeneous agents. The invention further incorporates a decentralized coordination layer that eliminates single points of failure and enhances system resilience. With its modular, scalable, and intelligent architecture, the framework supports a wide range of applications, including autonomous robotics, industrial automation, smart transportation, defense systems, and complex IoT ecosystems. This invention significantly improves adaptability, responsiveness, and operational efficiency for real-time autonomous systems operating in rapidly evolving environments."

Disclaimer: Curated by HT Syndication.