Colorado Springs, CO, United States of America

Gregory T Burk

This inventor holds 16 USPTO granted patents and 2 published patent applications, primarily in Reinforcement Learning. Top assignee: Vmware, Inc.. Active years: 2018-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gregory T Burk. Retrieved from https://idiyas.com/inventor/gregory-t-burk

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 16 

% Patents Active = 93.8

Average Co-Inventor Count = 3.5

ph-index = 3

Forward Citations = 40(Granted Patents)


Company Filing History:


Years Active: 2018-2022

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Areas of Expertise:
Reinforcement Learning
Application Manager
Action Tags
Metric Tags
Policy Validation
Training
Modular Design
Resource Categorization
Adversarial Training
Reward Function
Common Agent Framework
Computational Efficiency
16 patents (USPTO):Explore Patents

Title: Innovations of Gregory T Burk

Introduction

Gregory T Burk is a prominent inventor based in Colorado Springs, CO. He has made significant contributions to the field of automated reinforcement learning, holding a total of 16 patents. His work focuses on enhancing the efficiency and effectiveness of application management through innovative simulation techniques.

Latest Patents

One of Gregory's latest patents is titled "Simulator-training for automated reinforcement-learning-based application-managers." This patent outlines methods and systems for simulation-based training of automated application managers. The simulators are generated from data collected in controlled computing environments and utilize various machine-learning models to learn state-transition and reward models. The disclosed methods provide facilities for visualizing aspects of the learned models and initializing simulator models using domain information. Additionally, the simulators employ weighted differences computed from simulator-generated and training-data state transitions to address biases in training automated reinforcement-learning-based application managers.

Another notable patent is "Automated reinforcement-learning-based application manager that uses action tags and metric tags." This invention focuses on an application manager that utilizes action and metric tags to improve computational efficiency. By associating actions and metrics with tags, the application manager can explore the action-state space more effectively, leading to optimal management policies influenced by domain knowledge.

Career Highlights

Gregory T Burk is currently employed at VMware, Inc., where he continues to innovate in the field of application management. His expertise in reinforcement learning and simulation has positioned him as a key contributor to the company's advancements in technology.

Collaborations

Throughout his career, Gregory has collaborated with notable colleagues, including Dev A Nag and Dongni Wang. These partnerships have fostered a collaborative environment that enhances the development of innovative solutions in their field.

Conclusion

Gregory T Burk's contributions to automated reinforcement learning and application management are noteworthy. His patents reflect a commitment to advancing technology through innovative methods and systems. His work continues to influence the industry and pave the way for future developments.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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