London, United Kingdom

Gabriel Barth-Maron

USPTO Granted Patents = 8 

 

Average Co-Inventor Count = 4.3

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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8 patents (USPTO):Explore Patents

Title: Innovator Spotlight: Gabriel Barth-Maron

Introduction:

Gabriel Barth-Maron, a talented inventor based in London, GB, has made significant contributions to the field of reinforcement learning. With a portfolio of six patents, Gabriel is a visionary in developing cutting-edge technologies for continuous control tasks.

Latest Patents:

Gabriel's latest patents include "Distributional Reinforcement Learning for Continuous Control Tasks" and "Data-Efficient Reinforcement Learning for Continuous Control Tasks." These patents showcase his expertise in training action selection neural networks and actor neural networks for efficient reinforcement learning in complex environments.

Career Highlights:

Gabriel Barth-Maron is currently affiliated with DeepMind Technologies Limited, a renowned company in the field of artificial intelligence and machine learning. Through his innovative work at DeepMind, Gabriel has spearheaded advancements in reinforcement learning algorithms that have the potential to revolutionize various industries.

Collaborations:

During his career, Gabriel has collaborated with esteemed colleagues such as David Budden and Matthew William Hoffman. Together, they have pushed the boundaries of research in reinforcement learning and have paved the way for new applications of neural networks in continuous control tasks.

Conclusion:

In conclusion, Gabriel Barth-Maron stands out as a pioneering inventor in the realm of reinforcement learning, with a remarkable track record of patents and accomplishments. His dedication to innovation and collaboration underscores his commitment to shaping the future of AI technology.

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