I am a 4th 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. My research focuses on deep reinforcement learning, world models, and LLM reasoning.

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

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
D. Su, H. Zhu, Y. Xu, J. Jiao, Y. Tian, Q. Zheng
Under Review

 

Fast Adaptation with Behavioral Foundation Models
H. Sikchi, A. Tirinzoni, A. Touati, Y. Xu, A. Kanervisto, S. Niekum, A. Zhang, A. Lazaric, M. Pirotta
Under Review

 

Meta Motivo: Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
A. Tirinzoni, A. Touati, J. Farebrother, M. Guzek, A. Kanervisto, Y. Xu, A. Lazaric, M. Pirotta
ICLR 2025

 

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