London, United Kingdom

Praveen Deepak Srinivasan


 

Average Co-Inventor Count = 11.0

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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2 patents (USPTO):Explore Patents

Title: Praveen Deepak Srinivasan: Innovator in Reinforcement Learning

Introduction

Praveen Deepak Srinivasan is a notable inventor based in London, GB. He has made significant contributions to the field of reinforcement learning, holding 2 patents that showcase his innovative approach to distributed training systems.

Latest Patents

One of his latest patents focuses on the distributed training of reinforcement learning systems. This patent includes methods, systems, and apparatus, including computer programs encoded on computer storage media, for enhancing the efficiency of reinforcement learning. The method involves a learner receiving current values of the parameters of the Q network from a parameter server. Each learner maintains a respective learner Q network replica and a respective target Q network replica. The learner updates the parameters of the learner Q network replica using the current values, selects an experience tuple from a respective replay memory, computes a gradient from the experience tuple using both the learner Q network replica and the target Q network replica, and provides the computed gradient to the parameter server.

Career Highlights

Praveen is currently employed at DeepMind Technologies Limited, a leading company in artificial intelligence research. His work at DeepMind has positioned him at the forefront of advancements in machine learning and artificial intelligence.

Collaborations

He collaborates with talented individuals such as Rory Fearon and Cagdas Alcicek, contributing to a dynamic and innovative work environment.

Conclusion

Praveen Deepak Srinivasan is a prominent figure in the realm of reinforcement learning, with a focus on distributed training systems. His patents and work at DeepMind Technologies Limited reflect his commitment to advancing technology in this critical field.

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