Timothy James Alexander Harley

This inventor holds 12 USPTO granted patents and 2 published patent applications, plus 1 CIPO patent and 7 EPO patents. Top assignee: Deepmind Technologies Limited. Active years: 2019-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Timothy James Alexander Harley. Retrieved from https://idiyas.com/inventor/timothy-james-alexander-harley

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

USPTO Granted Patents = 12 (Patent Applications = 2)

% Patents Active = 100.0

CIPO Patents = 1

EPO Patents = 7 (Patent Applications = 6)

Average Co-Inventor Count = 6.9

ph-index = 2

Forward Citations = 9(Granted Patents)

Company Filing History:

12 out of 313

Deepmind Technologies Limited

patents

Years Active: 2019-2025

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12 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12299575 - Augmenting neural networks with external memory (2025-05-13),

2. 12299574 - Distributed training using actor-critic reinforcement learning with off-policy correction factors (2025-05-13),

3. 12020155 - Reinforcement learning using baseline and policy neural networks (2024-06-25),

4. 11907821 - Population-based training of machine learning models (2024-02-20),

5. 11868894 - Distributed training using actor-critic reinforcement learning with off-policy correction factors (2024-01-09),

6. 11783182 - Asynchronous deep reinforcement learning (2023-10-10),

7. 11593646 - Distributed training using actor-critic reinforcement learning with off-policy correction factors (2023-02-28),

8. 11334792 - Asynchronous deep reinforcement learning (2022-05-17),

9. 11151443 - Augmenting neural networks with sparsely-accessed external memory (2021-10-19),

10. 10936946 - Asynchronous deep reinforcement learning (2021-03-02),

11. 10832134 - Augmenting neural networks with external memory (2020-11-10),

12. 10346741 - Asynchronous deep reinforcement learning (2019-07-09),

Title: Innovator Spotlight: Timothy James Alexander Harley

Introduction:

Timothy James Alexander Harley is a brilliant inventor hailing from London, GB, with an impressive portfolio of 9 patents to his name. His cutting-edge work in machine learning and distributed training techniques has positioned him as a notable figure in the world of technology and innovation.

Latest Patents:

Among his latest patents is the groundbreaking "Population-based training of machine learning models" method. This innovative approach involves maintaining multiple training sessions, assigning tasks to workers, and optimizing model training through a fitness evaluation function. Additionally, he has made significant strides in "Distributed training using actor-critic reinforcement learning with off-policy correction factors," revolutionizing action selection neural network training methods for agents interacting with environments.

Career Highlights:

Currently affiliated with DeepMind Technologies Limited, Timothy James Alexander Harley continues to push the boundaries of technological advancement. His work has paved the way for advancements in machine learning and reinforcement learning techniques, contributing to the evolution of AI systems.

Collaborations:

Timothy James Alexander Harley has had the privilege of collaborating with esteemed professionals in the field, including Volodymyr Mnih and Alexander Benjamin Graves. These collaborations have led to the development of innovative solutions and further solidified his reputation as a trailblazer in the industry.

Conclusion:

In conclusion, Timothy James Alexander Harley's groundbreaking contributions to the field of AI and machine learning underscore his dedication to driving innovation forward. With a keen focus on pushing the boundaries of what is possible, he continues to inspire fellow inventors and researchers alike with his visionary work.

Profile summary based on public USPTO records.