I am currently working on world models for robotics research and taking a gap year to pursue Ph.D. opportunities. If you find my background suitable for your research group, please feel free to contact me at longxhe@gmail.com.

My research primarily focuses on reinforcement learning, generative model, and optimization theory, currently, I am interested in

1. GenAI for RL: Leveraging diffusion models to enhance RL performance.
2. Robust RL: Designing policies resilient to corrupted data or adversarial environments.
3. RL+X: Unlocking the potential of RL in other fields or using X to improve RL.

Specifically, I am interested in developing practically efficient algorithms with theoretical justification for fundamental machine learning problems.

I received my master’s degree from Tsinghua University in June 2025, where I was advised by Prof. Xueqian Wang (王学谦) in the Artificial Intelligence Program at Tsinghua Shenzhen International Graduate School. I also work closely with Prof. Li shen (沈力).