Yuhang Jiang

Title: Yuhang Jiang: Innovator in Unsupervised Reinforcement Learning

Introduction

Yuhang Jiang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence, particularly in reinforcement learning. His innovative approach focuses on enhancing learning methods through advanced mathematical concepts.

Latest Patents

Yuhang Jiang holds a patent for an "Unsupervised reinforcement learning method and apparatus based on Wasserstein distance." This patent outlines a method that involves obtaining a state distribution from a trajectory guided by the current policy of an agent. It calculates the Wasserstein distance between this state distribution and that of another historical policy. The method then uses this distance to generate a pseudo reward for the agent, which replaces the traditional reward from the environment. This approach encourages the agent to maintain a significant distance from historical policies, promoting diversity in the learned policies and skills.

Career Highlights

Yuhang Jiang is affiliated with Tsinghua University, a leading institution in research and education. His work at the university has positioned him as a key figure in the development of innovative learning algorithms. His research has implications for various applications in artificial intelligence and machine learning.

Collaborations

Yuhang Jiang has collaborated with notable colleagues, including Xiangyang Ji and Shuncheng He. These collaborations have furthered the research and development of advanced reinforcement learning techniques.

Conclusion

Yuhang Jiang's contributions to unsupervised reinforcement learning highlight his innovative spirit and dedication to advancing artificial intelligence. His work continues to influence the field and inspire future research endeavors.