About | Lucy X. Shi
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Yell At Your Robot 🗣️ Improving On-the-Fly from Language Corrections
I am a 4th year undergraduate student at UC Berkeley, graduating Dec. 2023 with degrees in Computer Science and Applied Mathematics. My research advisor at BAIR is Professor Sergey Levine . Previously, I had the privilege of working with Professor Abhishek Gupta and Dr. Kelvin Xu .
My research interests are in robot learning, specifically in methods enabling robots to acquire skills rapidly and scalably in the real world. This includes sample-efficient reinforcement learning, learning from both offline and online data, and learning from human demonstrations and feedback. Most recently, I have worked on dexterous manipulation challenges, reset-free learning, solving long horizon tasks, and reusing prior data to accelerate acquisition of new tasks in real world settings.
My next research goal is to build algorithms and systems that allows robots to learn a manipulation skill under minutes of real world interactions.
About | Lucy X. Shi
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Yell At Your Robot 🗣️ Improving On-the-Fly from Language Corrections