Robust Reinforcement Learning using Offline Data. - Kishan Panaganti; Zaiyan Xu; Dileep Kalathil; Mohammad Ghavamzadeh (NeurIPS, 2022)

Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning. - Zaiyan Xu; Kishan Panaganti; Dileep Kalathil (AISTATS, 2023)

Distributionally Robust Behavioral Cloning for Robust Imitation Learning. - Kishan Panaganti; Zaiyan Xu; Dileep Kalathil; Mohammad Ghavamzadeh (CDC, 2023)

Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage. - Kishan Panaganti; Zaiyan Xu; Dileep Kalathil; Mohammad Ghavamzadeh (L4DC, 2025)

Distributionally Robust Direct Preference Optimization. - Zaiyan Xu; Sushil Vemuri; Kishan Panaganti; Dileep Kalathil; Rahul Jain 002; Deepak Ramachandran (CoRR, 2025)