Min Jong Yoo

Title: Min Jong Yoo: Innovator in Reinforcement Learning

Introduction

Min Jong Yoo is a prominent inventor based in Suwon-si, South Korea. He has made significant contributions to the field of reinforcement learning, with a focus on innovative methods and systems that enhance data management and task decomposition.

Latest Patents

Min Jong Yoo holds 2 patents that showcase his expertise in reinforcement learning. His latest patents include:

1. **Reinforcement learning method and apparatus using task decomposition** - This invention involves a reinforcement learning method that utilizes a task decomposition inference model in a time-variant environment. The method includes selecting paired transitions with both time-invariant and time-variant characteristics from a dataset, training an auto encoder to embed these transitions into a latent space, and performing reinforcement learning based on data collected in the time-variant environment.

2. **Reinforcement learning-based sensor data management method and system** - This system is designed to manage virtualized objects corresponding to sensors in a sensor network. It updates data received from each sensor and calculates abstracted actions based on the state information of the virtualized objects. The system also assigns priorities to these objects based on calculated scores to optimize data management.

Career Highlights

Min Jong Yoo is affiliated with Sungkyunkwan University, where he continues to advance his research in reinforcement learning. His work has garnered attention for its practical applications in sensor networks and data management.

Collaborations

Some of his notable coworkers include Hong Uk Woo and Gwang Pyo Yoo, who contribute to the collaborative research environment at Sungkyunkwan University.

Conclusion

Min Jong Yoo is a distinguished inventor whose work in reinforcement learning is paving the way for innovative solutions in data management and task decomposition. His contributions are significant in advancing technology in this field.