Kishan Panaganti

40 papers A* 5A 3Journal 26Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization. CoRR Chengrui Qu, Christopher Yeh, Kishan Panaganti, Eric Mazumdar, Adam Wierman
2026	J	`jnl`	Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning. CoRR Kishan Panaganti, Zhenwen Liang, Wenhao Yu, Haitao Mi, Dong Yu
2026	J	`jnl`	The Single-Multi Evolution Loop for Self-Improving Model Collaboration Systems. CoRR Shangbin Feng, Kishan Panaganti, Yulia Tsvetkov, Wenhao Yu
2025	—	`conf`	Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage. L4DC Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh
2025	J	`jnl`	Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning. CoRR Zhenwen Liang, Sidi Lu, Wenhao Yu, Kishan Panaganti, Yujun Zhou, Haitao Mi, Dong Yu
2025	J	`jnl`	Distributionally Robust Direct Preference Optimization. CoRR Zaiyan Xu, Sushil Vemuri, Kishan Panaganti, Dileep Kalathil, Rahul Jain, Deepak Ramachandran
2025	J	`jnl`	Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees. CoRR Sourav Ganguly, Arnob Ghosh, Kishan Panaganti, Adam Wierman
2025	J	`jnl`	Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values. CoRR Dian Yu, Yulai Zhao, Kishan Panaganti, Linfeng Song, Haitao Mi, Dong Yu
2025	J	`jnl`	Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation. CoRR Yujun Zhou, Zhenwen Liang, Haolin Liu, Wenhao Yu, Kishan Panaganti, Linfeng Song, Dian Yu, Xiangliang Zhang, Haitao Mi, Dong Yu
2025	J	`jnl`	Guided Self-Evolving LLMs with Minimal Human Supervision. CoRR Wenhao Yu, Zhenwen Liang, Chengsong Huang, Kishan Panaganti, Tianqing Fang, Haitao Mi, Dong Yu
2025	A	`conf`	Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data. AISTATS Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman
2025	J	`jnl`	KL-regularization Itself is Differentially Private in Bandits and RLHF. CoRR Yizhou Zhang, Kishan Panaganti, Laixi Shi, Juba Ziani, Adam Wierman
2025	—	`conf`	Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. CDC Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick
2025	A*	`conf`	Online Robust Reinforcement Learning Through Monte-Carlo Planning. ICML Tuan Dam, Kishan Panaganti, Brahim Driss, Adam Wierman
2025	—	`conf`	Plan for the Worst with Advice: Advice-augmented Robust Markov Decision Processes. CDC Tinashe Handina, Kishan Panaganti, Eric Mazumdar, Adam Wierman
2025	J	`jnl`	Risk-Averse Total-Reward Reinforcement Learning. CoRR Xihong Su, Jia Lin Hau, Gersi Doko, Kishan Panaganti, Marek Petrik
2025	J	`jnl`	TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy. CoRR Héctor Carrión, Yutong Bai, Víctor A. Hernández Castro, Kishan Panaganti, Ayush Zenith, Matthew Trang, Tony Zhang, Pietro Perona, Jitendra Malik
2025	A*	`conf`	Tractable Multi-Agent Reinforcement Learning through Behavioral Economics. ICLR Eric Mazumdar, Kishan Panaganti, Laixi Shi
2024	J	`jnl`	Distributionally Robust Constrained Reinforcement Learning under Strong Duality. RLJ Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
2024	J	`jnl`	Distributionally Robust Constrained Reinforcement Learning under Strong Duality. CoRR Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
2024	J	`jnl`	Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data. CoRR Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman
2024	J	`jnl`	Model-Free Robust φ-Divergence Reinforcement Learning Using Both Offline and Online Data. CoRR Kishan Panaganti, Adam Wierman, Eric Mazumdar
2024	A*	`conf`	Model-Free Robust ϕ-Divergence Reinforcement Learning Using Both Offline and Online Data. ICML Kishan Panaganti, Adam Wierman, Eric Mazumdar
2024	J	`jnl`	Tractable Equilibrium Computation in Markov Games through Risk Aversion. CoRR Eric Mazumdar, Kishan Panaganti, Laixi Shi
2023	J	`jnl`	Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage. CoRR Kishan Panaganti, Zaiyan Xu, Dileep M. Kalathil, Mohammad Ghavamzadeh
2023	—	`conf`	Distributionally Robust Behavioral Cloning for Robust Imitation Learning. CDC Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh
2023	A	`conf`	Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning. AISTATS Zaiyan Xu, Kishan Panaganti, Dileep Kalathil
2023	J	`jnl`	Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning. CoRR Zaiyan Xu, Kishan Panaganti, Dileep Kalathil
2023	A*	`conf`	Personalized Reward Learning with Interaction-Grounded Learning (IGL). ICLR Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan
2022	—	`conf`	Interaction-Grounded Learning for Recommender Systems. ORSUM@RecSys Jessica Maghakian, Kishan Panaganti, Paul Mineiro, Akanksha Saran, Cheng Tan
2022	J	`jnl`	Personalized Reward Learning with Interaction-Grounded Learning (IGL). CoRR Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan
2022	A*	`conf`	Robust Reinforcement Learning using Offline Data. NeurIPS Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh
2022	J	`jnl`	Robust Reinforcement Learning using Offline Data. CoRR Kishan Panaganti, Zaiyan Xu, Dileep M. Kalathil, Mohammad Ghavamzadeh
2022	A	`conf`	Sample Complexity of Robust Reinforcement Learning with a Generative Model. AISTATS Kishan Panaganti, Dileep M. Kalathil
2021	J	`jnl`	Bounded Regret for Finitely Parameterized Multi-Armed Bandits. IEEE Control. Syst. Lett. Kishan Panaganti, Dileep M. Kalathil
2021	J	`jnl`	Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. CoRR Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick
2021	—	`conf`	Sample Complexity of Model-Based Robust Reinforcement Learning. CDC Kishan Panaganti, Dileep Kalathil
2021	J	`jnl`	Sample Complexity of Robust Reinforcement Learning with a Generative Model. CoRR Kishan Panaganti, Dileep Kalathil
2020	J	`jnl`	Bounded Regret for Finitely Parameterized Multi-Armed Bandits. CoRR Kishan Panaganti, Dileep M. Kalathil
2020	J	`jnl`	Model-Free Robust Reinforcement Learning with Linear Function Approximation. CoRR Kishan Panaganti, Dileep M. Kalathil