Assisted Robust Reward Design. - Jerry Zhi-Yang He; Anca D. Dragan (CoRL, 2021)

Learning Representations that Enable Generalization in Assistive Tasks. - Jerry Zhi-Yang He; Zackory Erickson; Daniel S. Brown; Aditi Raghunathan; Anca D. Dragan (CoRL, 2022)

A Study of Causal Confusion in Preference-Based Reward Learning. - Jeremy Tien; Jerry Zhi-Yang He; Zackory Erickson; Anca D. Dragan; Daniel S. Brown (CoRR, 2022)

Quantifying Assistive Robustness Via the Natural-Adversarial Frontier. - Jerry Zhi-Yang He; Daniel S. Brown; Zackory Erickson; Anca D. Dragan (CoRL, 2023)

Causal Confusion and Reward Misidentification in Preference-Based Reward Learning. - Jeremy Tien; Jerry Zhi-Yang He; Zackory Erickson; Anca D. Dragan; Daniel S. Brown (ICLR, 2023)

CoS: Enhancing Personalization and Mitigating Bias with Context Steering. - Jerry Zhi-Yang He; Sashrika Pandey; Mariah L. Schrum; Anca D. Dragan (CoRR, 2024)

Context Steering: Controllable Personalization at Inference Time. - Jerry Zhi-Yang He; Sashrika Pandey; Mariah L. Schrum; Anca D. Dragan (ICLR, 2025)