Hi, I am Yuqi Xie, you can also call me Leo. I am a Computer Science MS student studying at UT Austin. I obtained my Bachelor's degree in ECE from Shanghai Jiaotong University (SJTU) and Bachelor's degree in CS from Umich.
I'm interested in embodied agents and Large Language Models. I previously worked with Dr. Jim Fan from the NVIDIA research team. We published Voyager together. Now, I'm working in RPL lab advised by Prof. Yuke Zhu.
Awards & Scholarships
We introduce Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention. Voyager consists of three key components: 1) an automatic curriculum that maximizes exploration, 2) an ever-growing skill library of executable code for storing and retrieving complex behaviors, and 3) a new iterative prompting mechanism that incorporates environment feedback, execution err ...
Autonomous agents have made great strides in specialist domains like Atari games and Go. However, they typically learn tabula rasa in isolated environments with limited and manually conceived objectives, thus failing to generalize across a wide spectrum of tasks and capabilities. Inspired by how humans continually learn and adapt in the open world, we advocate a trinity of ingredients for building generalist agents: 1) an environment that supports a multitude of tasks and goals, 2) a large-scale ...