For the Inventor, By the Inventor

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Mountain View, CA, United States of America

Gdm Holding LLC

USPTO Granted Patents = 84

EPO Patents = 53

Forward Citations = 1

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345 inventors (with patents filed for the assignee):

Oriol Vinyals (10 out of 89 patents)

Karen Simonyan (7 out of 47 patents)

David Silver (4 out of 36 patents)

4. Nicolas Manfred Otto Heess (4 out of 25 patents)

5. Jack William Rae (4 out of 15 patents)

6. Martin Riedmiller (4 out of 10 patents)

7. Julian Schrittwieser (4 out of 7 patents)

8. Aaron Gerard Antonius Van Den Oord (3 out of 32 patents)

9. Razvan Pascanu (3 out of 24 patents)

10. Koray Kavukcuoglu (3 out of 36 patents)

11. Danilo Jimenez Rezende (3 out of 14 patents)

12. Misha Man Ray Denil (3 out of 9 patents)

13. Charles Blundell (3 out of 20 patents)

14. Bilal Piot (3 out of 9 patents)

15. Seyed Mohammadali Eslami (3 out of 9 patents)

Core Competencies:

Reinforcement Learning

Neural Networks

Robotic Control

Multi-Agent Systems

Attention Mechanisms

Simulation

Generative Models

Task Automation

Data Encoding

Scene Understanding

Video Generation

Object Representation

84 patents: Sort by Forward Citations

1. 12750386 - Performing tasks using a network of agents with an improved security level (2026-09-29),

2. 12748991 - Hierarchical policies for multitask transfer (2026-09-29),

3. 12748955 - Reinforcement learning with adaptive return computation schemes (2026-09-29),

4. 12748440 - Controlling robots using latent action vector conditioned controller neural networks (2026-09-29),

5. 12746662 - Simulating multiple robots in virtual environments (2026-09-29),

6. 12744972 - Generating corrected simulations using video generation models (2026-09-22),

7. 12743627 - Reinforcement learning with auxiliary tasks (2026-09-22),

8. 12741371 - Determining and utilizing corrections to robot actions (2026-09-22),

9. 12738282 - Verifying the provenance of a digital object using watermarking and embeddings (2026-09-15),

10. 12738281 - Verifying the provenance of a digital object using watermarking and embeddings (2026-09-15),

11. 12737937 - Video generation and encoding using machine-learning models (2026-09-15),

12. 12737619 - Optimizing algorithms for hardware devices (2026-09-15),

13. 12737431 - Generating differentiable order statistics using sorting networks (2026-09-15),

14. 12731054 - Reinforcement learning using a relational network for generating data encoding relationships between entities in an environment (2026-09-08),

15. 12730793 - Hierarchical interfaces for screen reader users (2026-09-08),

Company Overview

Gdm Holding LLC, based in Mountain View, CA, specializes in advanced technologies centered around reinforcement learning and neural networks. The company focuses on developing innovative solutions for robotic control, multi-agent systems, and attention mechanisms, facilitating enhanced task automation and simulation capabilities. By leveraging generative models, Gdm Holding aims to push the boundaries of artificial intelligence applications, contributing to various sectors that require intelligent decision-making and adaptive learning systems.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

84 Patents

#41 in Mountain View, CA

#1,021 in California

#4,425 in US

#9,048 in the World

Mountain View, CA, United States of America

Gdm Holding LLC

Forward Citations = 1

345 inventors:

Oriol Vinyals (10 out of 89 patents)

Karen Simonyan (7 out of 47 patents)

David Silver (4 out of 36 patents)

4. Nicolas Manfred Otto Heess (4 out of 25 patents)

5. Jack William Rae (4 out of 15 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Gdm Holding LLC. Retrieved from https://idiyas.com/company/gdm-holding

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

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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