Riverside, CA, United States of America

Sudipta Paul

This inventor holds 1 USPTO granted patent. Top assignee: Mitsubishi Electric Research Laboratories, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sudipta Paul. Retrieved from https://idiyas.com/inventor/sudipta-paul-6bl55j6u

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sudipta Paul: Innovator in Multimodal Reinforcement Learning

Introduction

Sudipta Paul is a talented inventor based in Riverside, CA. She has made significant contributions to the field of artificial intelligence, particularly in the area of reinforcement learning. Her innovative work has led to the development of a unique system that enhances the control of entities through advanced neural networks.

Latest Patents

Sudipta Paul holds a patent titled "System and method for controlling an entity." This patent describes a controller that utilizes a hierarchical multimodal reinforcement learning (RL) neural network. The controller comprises a memory for storing the network and a processor that selects one of two second-level controllers to perform specific tasks. Each second-level controller is designed to handle different modalities, allowing for more efficient control actions based on input data.

Career Highlights

Sudipta is currently employed at Mitsubishi Electric Research Laboratories, Inc. Her role involves leveraging her expertise in artificial intelligence to develop cutting-edge technologies. With her innovative mindset, she has been able to contribute to various projects that push the boundaries of what is possible in the field.

Collaborations

Due to space constraints, the collaborations section has been omitted.

Conclusion

Sudipta Paul's work exemplifies the spirit of innovation in the realm of artificial intelligence and reinforcement learning. Her contributions are paving the way for future advancements in technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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