Yamato, Japan

Natsuki Ishikawa

This inventor holds 1 USPTO granted patent and 12 published patent applications. Top assignee: Fujitsu Corporation. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Natsuki Ishikawa: Innovator in Multi-Agent Reinforcement Learning

Introduction

Natsuki Ishikawa is a prominent inventor based in Yamato, Japan. She has made significant contributions to the field of information processing, particularly in the area of multi-agent reinforcement learning. Her innovative work has led to the development of a unique patent that addresses complex challenges in this domain.

Latest Patents

Natsuki Ishikawa holds a patent for a "Computer-readable recording medium storing multi-agent reinforcement learning program, information processing apparatus, and multi-agent reinforcement learning method." This patent outlines a process that involves obtaining, according to a predetermined update order of a policy parameter of each agent, a degree of influence on a constraint specific to a first agent and a degree of influence on a system-wide constraint. The method includes updating the policy parameter of the first agent and sharing the influence on system-wide constraints with subsequent agents in the update order. This innovative approach enhances the efficiency and effectiveness of multi-agent systems.

Career Highlights

Natsuki is currently employed at Fujitsu Corporation, where she continues to push the boundaries of technology and innovation. Her work at Fujitsu has allowed her to collaborate with other talented professionals in the field, contributing to the advancement of information processing technologies.

Collaborations

Some of her notable coworkers include Yoshihiro Okawa and Hayato Dan. Their collaborative efforts have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Natsuki Ishikawa is a trailblazer in the field of multi-agent reinforcement learning, with a patent that showcases her innovative thinking and technical expertise. Her contributions at Fujitsu Corporation and collaborations with esteemed colleagues highlight her commitment to advancing technology.

Profile summary based on public USPTO records.
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