This inventor holds 1 USPTO granted patent. Top assignee: Sas Institute Inc.. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: Afshin Oroojlooy Jadid: Innovator in Reinforcement Learning
Introduction
Afshin Oroojlooy Jadid is a notable inventor based in Bethlehem, PA (US). He has made significant contributions to the field of machine learning, particularly in reinforcement learning. His innovative approach aims to maximize long-term value in machine learning systems.
Latest Patents
Afshin holds a patent for "Methods and systems for reinforcement learning." This patent describes exemplary embodiments that can maximize long-term value in a machine learning system. The system employs both an offline training process and an online training process. In the offline training process, an initial policy is learned to provide a warm start to the online training process. During the online training process, the system applies concurrent reinforcement learning across multiple environments. The goal is to learn efficient policies in real time from in-flight user data in one environment and apply the learned policies to other environments. By combining offline training and online training, the system improves initial performance through the warm start while adapting to a changing context through concurrent reinforcement learning.
Career Highlights
Afshin is currently employed at SAS Institute Inc., where he continues to develop innovative solutions in machine learning. His work focuses on enhancing the capabilities of reinforcement learning systems, contributing to advancements in artificial intelligence.
Collaborations
Afshin collaborates with talented individuals such as Mustafa Kabul and Mohammad Reza Nazari. Their combined expertise fosters a creative environment that drives innovation in their projects.
Conclusion
Afshin Oroojlooy Jadid is a pioneering inventor whose work in reinforcement learning is shaping the future of machine learning systems. His contributions are vital in advancing the field and improving the efficiency of AI technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
