Cagdas Alcicek

Title: Cagdas Alcicek: Innovator in Reinforcement Learning Systems

Introduction

Cagdas Alcicek is a prominent 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 Cagdas Alcicek's 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 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 process includes updating the parameters of the learner Q network replica, selecting an experience tuple from a replay memory, computing a gradient from the experience tuple, and providing the computed gradient to the parameter server.

Career Highlights

Cagdas Alcicek 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 AI technologies.

Collaborations

Cagdas has collaborated with notable colleagues, including Praveen Deepak Srinivasan and Rory Fearon. These collaborations have further enriched his research and development efforts in the field.

Conclusion

Cagdas Alcicek is a key figure in the innovation of reinforcement learning systems, with a focus on distributed training methods. His contributions continue to influence the landscape of artificial intelligence and machine learning.