Matineh Shaker

Title: Matineh Shaker: Innovator in Artificial Intelligence

Introduction

Matineh Shaker is a prominent inventor based in Berkeley, California. He has made significant contributions to the field of artificial intelligence through his innovative patent. His work focuses on enhancing the capabilities of AI models using advanced reinforcement learning techniques.

Latest Patents

Matineh Shaker holds a patent for hierarchical decomposition deep reinforcement learning for an artificial intelligence model. This patent describes methods and apparatuses that apply a hierarchical-decomposition reinforcement learning technique to train AI objects as concept nodes in a hierarchical graph. The individual sub-tasks of a decomposed task correspond to their own concept nodes and are trained to complete their individual sub-tasks. Subsequently, they learn how these sub-tasks interact to deliver a solution to complex tasks. The training process utilizes reward functions tailored for each sub-task and the overall complex task, allowing for parallel training of AI objects when feasible.

Career Highlights

Matineh Shaker is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in AI to develop innovative solutions that push the boundaries of technology. His work has garnered attention for its potential applications in various industries.

Collaborations

Matineh collaborates with talented individuals such as Marcos M Campos and Aditya Gudimella. These partnerships enhance the creative process and contribute to the development of cutting-edge technologies.

Conclusion

Matineh Shaker is a key figure in the realm of artificial intelligence, with a focus on reinforcement learning techniques. His innovative patent and contributions to Microsoft Technology Licensing, LLC highlight his commitment to advancing technology. His work continues to inspire future developments in AI.