Palo Alto, CA, United States of America

Janislav Jankov

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: **Janislav Jankov: Innovator in Reinforcement Learning Technology**

Introduction

Janislav Jankov, based in Palo Alto, CA, is an inventive mind in the realm of technology with a focus on modular reinforcement learning systems. His innovative contributions have made significant advancements in the way computational environments are managed and controlled.

Latest Patents

Janislav holds a notable patent for a "Modular reinforcement-learning-based application manager." This patent focuses on a versatile application manager designed to operate across various computational environments with minimal modifications. The system incorporates observation and action adapters, providing a self-describing interface that works efficiently in different settings. One of the standout features is a user-specifiable reward-generation interface that enables tailored feedback from the environment, catering to diverse user expectations and control policies.

Career Highlights

Janislav is currently employed at VMware, a company known for its cutting-edge technology solutions and innovations in cloud computing and virtualization. His role at VMware involves leveraging reinforcement learning to enhance application management and deployment processes, contributing to the company’s reputation as a leader in innovative technology solutions.

Collaborations

Throughout his career, Janislav has collaborated with talented individuals such as Dev A. Nag and Gregory T. Burk. These partnerships showcase his ability to work effectively within a team, driving forward new ideas and enhancing technological capabilities in his field.

Conclusion

Janislav Jankov continues to be a pioneering inventor in the tech industry, with his passion for innovation evident through his patent and collaborative efforts. His work exemplifies the potential of reinforcement learning technologies to shape the future of application management in computational environments.

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