Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage. - Jonathan D. Chang; Masatoshi Uehara; Dhruv Sreenivas; Rahul Kidambi; Wen Sun 002 (NeurIPS, 2021)

Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage. - Jonathan D. Chang; Masatoshi Uehara; Dhruv Sreenivas; Rahul Kidambi; Wen Sun 002 (CoRR, 2021)

Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies. - Shachi Deshpande; Kaiwen Wang; Dhruv Sreenivas; Zheng Li; Volodymyr Kuleshov (NeurIPS, 2022)

Adversarial Imitation Learning via Boosting. - Jonathan D. Chang; Dhruv Sreenivas; Yingbing Huang; Kianté Brantley; Wen Sun 002 (ICLR, 2024)

Optimistic critics can empower small actors. - Olya Mastikhina; Dhruv Sreenivas; Pablo Samuel Castro (CoRR, 2025)