Panaganti, Kishan

15 publications

ICLR 2026 Distributionally Robust Cooperative Multi-Agent Reinforcement Learning with Value Factorization Chengrui Qu, Christopher Yeh, Kishan Panaganti, Eric Mazumdar, Adam Wierman

L4DC 2025 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

NeurIPS 2025 Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees Sourav Ganguly, Kishan Panaganti, Arnob Ghosh, Adam Wierman

AISTATS 2025 Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman

ICML 2025 Online Robust Reinforcement Learning Through Monte-Carlo Planning Tuan Quang Dam, Kishan Panaganti, Brahim Driss, Adam Wierman

NeurIPS 2025 Risk-Averse Total-Reward Reinforcement Learning Xihong Su, Jia Lin Hau, Gersi Doko, Kishan Panaganti, Marek Petrik

NeurIPS 2025 Robust LLM Alignment via Distributionally Robust Direct Preference Optimization Zaiyan Xu, Sushil Vemuri, Kishan Panaganti, Dileep Kalathil, Rahul Jain, Deepak Ramachandran

ICLR 2025 Tractable Multi-Agent Reinforcement Learning Through Behavioral Economics Eric Mazumdar, Kishan Panaganti, Laixi Shi

NeurIPSW 2024 A Behavioral Economics Approach to Principled Multi-Agent Reinforcement Learning Eric Mazumdar, Kishan Panaganti, Laixi Shi

ICMLW 2024 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

ICML 2024 Model-Free Robust $φ$-Divergence Reinforcement Learning Using Both Offline and Online Data Kishan Panaganti, Adam Wierman, Eric Mazumdar

AISTATS 2023 Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning Zaiyan Xu, Kishan Panaganti, Dileep Kalathil

ICLR 2023 Personalized Reward Learning with Interaction-Grounded Learning (IGL) Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan

AISTATS 2022 Sample Complexity of Robust Reinforcement Learning with a Generative Model Kishan Panaganti, Dileep Kalathil

NeurIPS 2022 Robust Reinforcement Learning Using Offline Data Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh