Daniel George Horgan

Title: The Innovations of Daniel George Horgan

Introduction

Daniel George Horgan is a notable inventor based in London, GB. He has made significant contributions to the field of artificial intelligence and machine learning. With a total of 3 patents to his name, Horgan is recognized for his innovative approaches to reinforcement learning.

Latest Patents

Horgan's latest patents include groundbreaking methods, systems, and apparatus for reinforcement learning using distributed prioritized replay. These inventions involve computer programs encoded on computer storage media, designed for training an action selection neural network. This network is utilized to select actions performed by an agent interacting with an environment. One of the systems he developed comprises a plurality of actor computing units, each configured to maintain a respective replica of the action selection neural network and perform various actor operations. Additionally, it includes one or more learner computing units, which are designed to execute a range of learner operations.

Career Highlights

Horgan is currently employed at DeepMind Technologies Limited, a leading company in artificial intelligence research. His work focuses on enhancing the capabilities of neural networks and improving the efficiency of machine learning processes.

Collaborations

Some of Horgan's notable coworkers include David Budden and Gabriel Barth-Maron, who are also involved in advancing AI technologies.

Conclusion

Daniel George Horgan's contributions to the field of artificial intelligence through his patents and work at DeepMind Technologies Limited highlight his role as an influential inventor. His innovative methods in reinforcement learning continue to shape the future of machine learning.