Irvine, CA, United States of America

David Pendergrast


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

Loading Chart...
1 patent (USPTO):Explore Patents

Title: David Pendergrast: Innovator in Reinforcement Learning

Introduction

David Pendergrast is an accomplished inventor based in Irvine, California. He has made significant contributions to the field of reinforcement learning, showcasing his expertise through innovative patent work. His dedication to advancing technology is evident in his research and development efforts.

Latest Patents

David holds a patent titled "Initial results of a reinforcement learning model using a heuristic." This patent describes systems and methods for improving the initial results of a reinforcement learning model. In this embodiment, a server computer initiates a reinforcement learning model for a modeled system. While executing the model, the server computes a first result value for a particular action using the reinforcement learning model and a second result value for the same action using a heuristic separate from the reinforcement model. Based on these values, the server performs the action and updates the reinforcement learning model accordingly. This innovative approach enhances the efficiency and effectiveness of reinforcement learning applications.

Career Highlights

David Pendergrast is currently employed at Blizzard Entertainment, Inc., where he applies his skills in a dynamic and creative environment. His work at Blizzard allows him to collaborate with talented individuals and contribute to cutting-edge projects in the gaming industry.

Collaborations

Some of David's notable coworkers include Wayne Yang and Alexander Zook. Their collaboration fosters a productive atmosphere that encourages innovation and creativity.

Conclusion

David Pendergrast is a notable inventor whose work in reinforcement learning exemplifies his commitment to technological advancement. His contributions, particularly through his patent, highlight the potential for improving machine learning systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…