London, United Kingdom

David Paul Reichert

This inventor holds 3 USPTO granted patents and 1 published patent application and 2 EPO patents. Top assignee: Deepmind Technologies Limited. Active years: 2020-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Paul Reichert. Retrieved from https://idiyas.com/inventor/david-paul-reichert

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

 

Average Co-Inventor Count = 11.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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3 patents (USPTO):Explore Patents

Title: The Innovative Mind of David Paul Reichert

Introduction

David Paul Reichert is a prominent inventor based in London, GB, renowned for his significant contributions to the field of artificial intelligence and neural networks. With a total of three patents to his name, Reichert has been at the forefront of developing advanced technological solutions that enhance the capabilities of intelligent systems.

Latest Patents

Reichert's latest inventions revolve around the concept of Imagination-based agent neural networks. This innovative neural network system is designed to train agents through model-based reinforcement learning, allowing them to select optimal actions while interacting with their environments. The proposed system consists of at least one imagination core, which processes current observations and historical data to create a model of the environment. It generates trajectory data that outlines future features of the environment as imagined by the core. Furthermore, the system includes a rollout encoder for feature encoding and an output stage that derives action policy data based on current environmental observations.

The second iteration of the Imagination-based agent neural networks is even more sophisticated. This version includes a controller that handles state and context data to produce relevant action outputs. It also integrates an imagination module that responds with consequent state data, as well as a management system that determines whether the agent should execute an action or engage in imaginative processing. Additionally, the memory component of the system stores vital context data, enhancing the overall functionality of the agent.

Career Highlights

David Paul Reichert currently works with DeepMind Technologies Limited, a leading company in the field of machine learning and artificial intelligence. His role at DeepMind allows him to innovate and collaborate on projects that push the boundaries of technology and its applications in various sectors.

Collaborations

Throughout his career, Reichert has collaborated with esteemed colleagues, including Daniel Pieter Wierstra and Yujia Li. These partnerships have fostered a creative environment where groundbreaking ideas and technologies can flourish, contributing to the advancement of neural network research.

Conclusion

David Paul Reichert's work exemplifies the spirit of innovation and ingenuity in the realm of artificial intelligence. His developed patents on Imagination-based agent neural networks showcase his dedication to creating systems that not only enhance task performance but also redefine how agents interact with their environments. As technological advancements continue to evolve, the contributions of inventors like Reichert will undoubtedly shape the future landscape of AI and machine learning.

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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