About
I am a graduate researcher at the Stanford IRIS Lab within the Stanford AI Lab (SAIL), advised by Chelsea Finn and Anikait Singh. I also work closely with Jack (Hao) Bai.
My research focuses on interactive decision-making and reasoning in autonomous agents. I am particularly interested in how LLM/VLM agents can self-improve and generalize through large-scale reinforcement learning. Specifically, I am investigating continual learning for web agents, aiming to build systems that can adapt and evolve within dynamic web environments over time.
Previously, I contributed to the development of RAPTOR, a state-of-the-art RAG system accepted to ICLR 2024.
Publications
Teaching
Coursework
Artificial Intelligence
- CS 224R: Deep Reinforcement Learning
- CS 224N: NLP with Deep Learning
- CS 231n: Deep Learning for Computer Vision
- CS 229S: Systems for Machine Learning
Systems & Theory
- CS 149: Parallel Computing
- CS 161: Algorithms
- CS 111: Operating Systems