IDiyas

For the Inventor, By the Inventor

London, United Kingdom

Nicolas Manfred Otto Heess

USPTO Granted Patents = 20 


 

Average Co-Inventor Count = 6.1

ph-index = 2

Forward Citations = 19(Granted Patents)


Company Filing History:

goldMedal20 out of 308 
 
Deepmind Technologies Limited
 patents

Years Active: 2020-2025

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20 patents (USPTO):Explore Patents
1. 12367391 - Selecting reinforcement learning actions using a low-level controller (2025-07-22),
2. 12346786 - Data-efficient reinforcement learning for continuous control tasks (2025-07-01),
3. 12343874 - Reinforcement and imitation learning for a task (2025-07-01),
4. 12190223 - Training action selection neural networks using off-policy actor critic reinforcement learning and stochastic dueling neural networks (2025-01-07),
5. 11983634 - Multi-task neural network systems with task-specific policies and a shared policy (2024-05-14),
6. 11886997 - Training action selection neural networks using apprenticeship (2024-01-30),
7. 11875258 - Selecting reinforcement learning actions using a low-level controller (2024-01-16),
8. 11868882 - Training action selection neural networks using apprenticeship (2024-01-09),
9. 11803750 - Continuous control with deep reinforcement learning (2023-10-31),
10. 11741334 - Data-efficient reinforcement learning for continuous control tasks (2023-08-29),
11. 11534911 - Neural networks for selecting actions to be performed by a robotic agent (2022-12-27),
12. 11328183 - Imagination-based agent neural networks (2022-05-10),
13. 11210585 - Selecting reinforcement learning actions using a low-level controller (2021-12-28),
14. 11132609 - Multi-task neural network systems with task-specific policies and a shared policy (2021-09-28),
15. 10860895 - Imagination-based agent neural networks (2020-12-08),

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.

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