MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641077285 A) filed by Dr. Kavitha C; Dr. Sandhya K S; Dr. Snehal Bhosale; Mrs. P. R. Madhu Shree; Dr Shalini R Nayak; Yashvir Singh; Dr Pradeep K; Nazia Sohail; Dr Arvind Mohan; and Geeta Ashok on June 23, 2026, for System And Method For Reinforcement Learning-Based Dynamic Asset Allocation In Goal-Oriented Wealth Management.
Inventors include Dr. Kavitha C; Dr. Sandhya K S; Dr. Snehal Bhosale; Mrs. P. R. Madhu Shree; Dr Shalini R Nayak; Yashvir Singh; Dr Pradeep K; Nazia Sohail; Dr Arvind Mohan; and Geeta Ashok.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT SYSTEM AND METHOD FOR REINFORCEMENT LEARNING-BASED DYNAMIC ASSET ALLOCATION IN GOAL-ORIENTED WEALTH MANAGEMENT This invention discloses a system and method for reinforcement learning-based dynamic asset allocation in goal-oriented wealth management. The system integrates investor-specific objectives into a reinforcement learning framework, enabling adaptive portfolio strategies under uncertain market conditions. A data ingestion module streams real- time financial and macroeconomic data, while a reinforcement learning engine optimizes sequential allocation decisions through reward maximization. A risk management layer ensures compliance and investor protection, and a decision explanation interface provides transparency in allocation rationales. The invention enhances personalization, adaptability, and interpretability in wealth management systems.
Disclaimer: Curated by HT Syndication.
