Situational Confidence Assistance for Lifelong Shared Autonomy. - Matthew Zurek; Andreea Bobu; Daniel S. Brown; Anca D. Dragan (ICRA, 2021)

The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. - Gaurav R. Ghosal; Matthew Zurek; Daniel S. Brown; Anca D. Dragan (AAAI, 2023)

Clustering Without an Eigengap. - Matthew Zurek; Yudong Chen 001 (CoRR, 2023)

Span-Based Optimal Sample Complexity for Average Reward MDPs. - Matthew Zurek; Yudong Chen 001 (CoRR, 2023)

Gap-Free Clustering: Sensitivity and Robustness of SDP. - Matthew Zurek; Yudong Chen 001 (COLT, 2024)

Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces. - Brahma S. Pavse; Matthew Zurek; Yudong Chen 001; Qiaomin Xie; Josiah P. Hanna (ICML, 2024)

Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs. - Matthew Zurek; Yudong Chen 001 (NeurIPS, 2024)

The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis. - Matthew Zurek; Yudong Chen 001 (ALT, 2025)

Span-Agnostic Optimal Sample Complexity and Oracle Inequalities for Average-Reward RL. - Matthew Zurek; Yudong Chen (COLT, 2025)

Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL. - Matthew Zurek; Guy Zamir; Yudong Chen (CoRR, 2025)

Faster Fixed-Point Methods for Multichain MDPs. - Matthew Zurek; Yudong Chen (CoRR, 2025)