About me
Hey folks! I’m a PhD student at UC Irvine advised by Prof. Roy Fox. I’m interested in developing sample efficient and scalable reinforcement learning (RL) algorithms. More specifically, my main direction is to make RL scalable and generalizable so that we can apply RL to real-world robotics problems.
News
- Jun 2026 Returned to Amazon as an Applied Scientist Intern for the summer.
- 2026 REG: In-Sample RL via Regularizing the Evaluation Gap accepted at ICML 2026.
- 2026 Differentially Private Non-Convex Learning: From GLMs to Multi-Layer Neural Networks accepted at AAMAS 2026.
- Jun 2025 Joined Amazon as an Applied Scientist Intern for the summer.
Publications
- REG: In-Sample RL via Regularizing the Evaluation Gap
- Differentially Private Non-Convex Learning: From Generalized Linear Models to Multi-Layer Neural Networks
All publications → · Google Scholar ↗