Nicolas Manfred Otto Heess

This inventor holds 25 USPTO granted patents and 14 published patent applications, plus 1 CIPO patent and 12 EPO patents, primarily in Reinforcement Learning. Top assignees: Deepmind Technologies Limited, Gdm Holding LLC. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nicolas Manfred Otto Heess. Retrieved from https://idiyas.com/inventor/nicolas-manfred-otto-heess

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

USPTO Granted Patents = 25 (Patent Applications = 14)

% Patents Active = 96.0

CIPO Patents = 1

EPO Patents = 12 (Patent Applications = 10)

Average Co-Inventor Count = 6.1

ph-index = 3

Forward Citations = 31(Granted Patents)

Company Filing History:

21 out of 313

Deepmind Technologies Limited

Years Active: 2020-2026

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Areas of Expertise:

Reinforcement Learning

Neural Networks

Continuous Control

Action Selection

Deep Learning

Multi-task Learning

Graph Neural Networks

Imitation Learning

Data-efficient Learning

Robotic Agents

Policy Training

Actor Critic

25 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12748991 - Hierarchical policies for multitask transfer (2026-09-29),

2. 12688427 - Training action selection neural networks using hindsight modelling (2026-07-21),

3. 12608585 - Neural networks for selecting actions to be performed by a robotic agent (2026-04-21),

4. 12561573 - Continuous control with deep reinforcement learning (2026-02-24),

5. 12499359 - Graph neural networks representing physical systems (2025-12-16),

6. 12367391 - Selecting reinforcement learning actions using a low-level controller (2025-07-22),

7. 12346786 - Data-efficient reinforcement learning for continuous control tasks (2025-07-01),

8. 12343874 - Reinforcement and imitation learning for a task (2025-07-01),

9. 12190223 - Training action selection neural networks using off-policy actor critic reinforcement learning and stochastic dueling neural networks (2025-01-07),

10. 11983634 - Multi-task neural network systems with task-specific policies and a shared policy (2024-05-14),

11. 11886997 - Training action selection neural networks using apprenticeship (2024-01-30),

12. 11875258 - Selecting reinforcement learning actions using a low-level controller (2024-01-16),

13. 11868882 - Training action selection neural networks using apprenticeship (2024-01-09),

14. 11803750 - Continuous control with deep reinforcement learning (2023-10-31),

15. 11741334 - Data-efficient reinforcement learning for continuous control tasks (2023-08-29),

Title: Unveiling the Innovator: Nicolas Manfred Otto Heess

Introduction: Delve into the world of groundbreaking inventions with Nicolas Manfred Otto Heess, a prolific inventor based in London, GB, who has made a significant impact with his impressive portfolio of 16 patents.

Latest Patents: Among his latest patents is the development of multi-task neural network systems with task-specific policies and a shared policy. This method revolutionizes the training of multitask computer systems by optimizing an objective function that enables coordinated learning across different tasks. Additionally, his work on training action selection neural networks using apprenticeship showcases his expertise in off-policy reinforcement learning techniques.

Career Highlights: Nicolas Manfred Otto Heess is a key figure at DeepMind Technologies Limited, a leading technology company at the forefront of innovation in artificial intelligence. His contributions have been instrumental in shaping the future of neural network systems and reinforcement learning algorithms.

Collaborations: Collaborating with esteemed colleagues such as Razvan Pascanu and Timothy Paul Lillicrap, Nicolas Manfred Otto Heess has fostered a collaborative environment conducive to pushing the boundaries of technological advancements. Together, they have propelled the field of AI research to new heights.

Conclusion: In conclusion, Nicolas Manfred Otto Heess stands as a pioneering force in the realm of inventions, with a remarkable track record of patents that underline his ingenuity and dedication to driving innovation forward. His contributions continue to inspire and shape the landscape of technology, paving the way for a future defined by cutting-edge advancements.

Profile summary based on public USPTO records.