I am an Electrical Engineering PhD Student at the University of Central Florida specializing in Reinforcement Learning . My research focuses on Distributionally Robust Reinforcement Learning, designing agents that perform reliably under uncertainty and distributional shift. Currently, I am working on RL post-training for Vision-Language-Action (VLA) models, at the frontier of embodied AI.
Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
ICLR, 2026
Zain Ulabedeen Farhat, Debamita Ghosh, George K Atia, Yue Wang
[Paper]
Model-free Offline Reinforcement Learning with Enhanced Robustness
ICLR, 2025
Chi Zhang, Zain Ulabedeen Farhat, George K Atia, Yue Wang
[Paper]