I am a third year CS PhD student at University College London (UCL) supervised by Edward Grefenstette and Tim Rocktäschel, as well as a PhD Researcher at FAIR London. I do research in deep reinforcement learning, currently focusing on world models, generalization and data efficiency.

Before starting my PhD, I studied CS and Math at Rice University and also spent some time working on applied ML in the bay area.

     

Publications

H-GAP: Humanoid Control with a Generalist Planner
Z. Jiang*, Y. Xu*, N. Wagener, Y. Luo, M. Janner, E. Grefenstette, T. Rocktäschel, Y. Tian
ICLR 2024 Spotlight

 

IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
R. Chitnis*, Y. Xu*, B. Hashemi, L. Lehnert, U. Dogan, Z. Zhu, O. Delalleau
ICRA 2024

 

Learning General World Models in a Handful of Reward-Free Deployments
Y. Xu*, J. Parker-Holder*, A. Pacchiano*, P. J. Ball*, O. Rybkin, S. J. Roberts, T. Rocktäschel, E. Grefenstette
NeurIPS 2022

 

LGD: Fast and Accurate Stochastic Gradient Estimation
B. Chen, Y. Xu, A. Shrivastava
NeurIPS 2019

 

Looking into the past: Eye-tracking mental simulation in physical inference
A. Beller, Y. Xu, S. Linderman, T. Gerstenberg
Cognitive Science 2022