Yoshihiro Okawa

Title: Innovations of Yoshihiro Okawa

Introduction

Yoshihiro Okawa is a notable inventor based in Yokohama, Japan. He has made significant contributions to the field of reinforcement learning, holding a total of 3 patents. His work focuses on developing methods and systems that enhance the efficiency and effectiveness of reinforcement learning applications.

Latest Patents

Yoshihiro Okawa's latest patents include a "Reinforcement Learning Method and Reinforcement Learning System." This patent describes a computer-implemented method that determines parameters for a reinforcement learner based on a target probability of satisfaction of a constraint condition. It also outlines how to control the state of a control object to meet specific conditions. Another significant patent is the "Reinforcement Learning Method, Recording Medium, and Reinforcement Learning System." This invention involves calculating the degree of risk for a controlled object's state concerning a constraint condition and determining control inputs based on this risk assessment.

Career Highlights

Yoshihiro Okawa is currently employed at Fujitsu Corporation, where he continues to innovate in the field of reinforcement learning. His work has implications for various applications, including robotics and automated systems. His expertise in this area has positioned him as a valuable asset to his organization.

Collaborations

Yoshihiro has collaborated with notable colleagues, including Hidenao Iwane and Tomotake Sasaki. These collaborations have likely contributed to the advancement of their shared research interests and innovations in reinforcement learning.

Conclusion

Yoshihiro Okawa's contributions to reinforcement learning through his patents and work at Fujitsu Corporation highlight his role as an influential inventor in the field. His innovative methods and systems continue to shape the future of technology.