MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079435 A) filed by Romayne Maria Cachart on June 27, 2026, for Adaptive Program Governance Platform Using Reinforcement Learning And Policy Optimization.
Inventor includes Romayne Maria Cachart.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses an adaptive program governance platform utilizing reinforcement learning and policy optimization techniques for intelligent management and optimization of complex organizational programs. The platform collects real-time and historical program execution data, generates dynamic governance state representations, and applies artificial intelligence-based reinforcement learning models to evaluate governance actions and optimize decision policies. A policy optimization module continuously adapts governance strategies based on performance feedback, predictive analysis, and simulated program outcomes. The system further provides intelligent recommendations and automated governance interventions related to resource allocation, risk mitigation, compliance monitoring, scheduling, and strategic alignment. By enabling continuous learning and adaptive decision- making, the invention overcomes limitations of static governance frameworks and provides a self-improving governance environment capable of enhancing program efficiency, reducing operational risks, and improving overall program success probability.
Disclaimer: Curated by HT Syndication.
