Lei Yu

Title: Lei Yu: Innovator in Reinforcement Learning

Introduction

Lei Yu is a prominent inventor based in Vestal, NY (US), known for her contributions to the field of reinforcement learning. With a total of three patents to her name, she has made significant strides in developing systems and methods that enhance control policies in complex environments.

Latest Patents

One of Lei Yu's latest patents is titled "Approximate value iteration with complex returns by bounding." This invention outlines a system and method for controlling a system by estimating an optimal control policy. The process involves receiving data that represents sequential states and associated trajectories, including off-policy states. The invention aims to improve the estimate of the optimal control policy through approximate value iteration, utilizing complex returns to determine bounds based on off-policy trajectories. This innovative control system can produce output signals to directly control the system or output the optimized control policy, making it particularly effective in reinforcement learning applications.

Another notable patent is "Framework and methods of diverse exploration for fast and safe policy improvement." This technology addresses the challenge of rapidly and safely improving policies in online reinforcement learning domains. The solution employs a diverse exploration strategy, which learns and deploys a variety of safe policies to explore the environment effectively. The empirical study associated with this patent demonstrates that implementing this strategy can lead to both fast policy improvement and safe online performance.

Career Highlights

Lei Yu is affiliated with the State University of New York, where she continues to advance her research and innovations in reinforcement learning. Her work has garnered attention for its practical applications and theoretical contributions to the field.

Collaborations

Lei collaborates with esteemed colleagues, including Robert Wright and Steven Loscalzo, who contribute to her research endeavors and help foster a collaborative environment for innovation.

Conclusion

In summary, Lei Yu is a distinguished inventor whose work in reinforcement learning has led to significant advancements in control systems and policy improvement strategies. Her patents reflect her commitment to innovation and her impact on the field.