I am a first-year Master's student at Stanford University. I am also an AI research intern at NVIDIA Research, where I am fortunate to work with Dr. Jim Fan, Prof. Yuke Zhu, and Prof. Anima Anandkumar. Previously, I obtained my bachelor's degree with first-class honors from The University of Edinburgh in Summer 2020.
I am generally interested in embodied AI that enables learning through interaction with environments. I study how to leverage large‑scale foundation models towards the goal of open‑ended generally capable embodied agents.
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Jim (Linxi) Fan, Guanzhi Wang*, Yunfan Jiang*, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu†, Anima Anandkumar†
* Equal contribution † Equal advising
arXiv | website | codebase | dataset | announcement | NV blog | covered by Two Minute Papers
Stanford EE277 Reinforcement Learning: Behaviors and Applications (Grader), instructed by Prof. Benjamin Van
Stanford EE236A Modern Optics (Grader)