About me

I am seeking a Ph.D. position for Fall 2026. 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 and RL for Robotics: Integrating foundation models and diffusion or flow-based generative models with reinforcement learning to enhance embodied agents.
2. Theory of Offline RL and Reliable AI Systems: Developing policies that are robust to corrupted data and adversarial conditions.
3. RL+X: Advancing reinforcement learning by applying it to other domains or leveraging external tools and methodologies (X) to improve RL performance.

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).