Kishan Panaganti

According to our database, Kishan Panaganti authored at least 22 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation.

Yujun Zhou, Zhenwen Liang, Haolin Liu, Wenhao Yu, Kishan Panaganti, Linfeng Song, Dian Yu, Xiangliang Zhang, Haitao Mi, Dong Yu

CoRR, September, 2025

Risk-Averse Total-Reward Reinforcement Learning.

Xihong Su, Jia Lin Hau, Gersi Doko, Kishan Panaganti, Marek Petrik

CoRR, June, 2025

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy.

Héctor Carrión, Yutong Bai, Víctor A. Hernández Castro, Kishan Panaganti, Ayush Zenith, Matthew Trang, Tony Zhang, Pietro Perona, Jitendra Malik

CoRR, June, 2025

Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees.

Sourav Ganguly, Arnob Ghosh, Kishan Panaganti, Adam Wierman

CoRR, May, 2025

KL-regularization Itself is Differentially Private in Bandits and RLHF.

Yizhou Zhang, Kishan Panaganti, Laixi Shi, Juba Ziani, Adam Wierman

CoRR, May, 2025

Distributionally Robust Direct Preference Optimization.

Zaiyan Xu, Sushil Vemuri, Kishan Panaganti, Dileep Kalathil, Rahul Jain, Deepak Ramachandran

CoRR, February, 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

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Tractable Multi-Agent Reinforcement Learning through Behavioral Economics.

Eric Mazumdar, Kishan Panaganti, Laixi Shi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data.

Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Tractable Equilibrium Computation in Markov Games through Risk Aversion.

Eric Mazumdar, Kishan Panaganti, Laixi Shi

CoRR, 2024

Distributionally Robust Constrained Reinforcement Learning under Strong Duality.

Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue

RLJ, 2024

Model-Free Robust ϕ-Divergence Reinforcement Learning Using Both Offline and Online Data.

Kishan Panaganti, Adam Wierman, Eric Mazumdar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Personalized Reward Learning with Interaction-Grounded Learning (IGL).

Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distributionally Robust Behavioral Cloning for Robust Imitation Learning.

Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning.

Zaiyan Xu, Kishan Panaganti, Dileep Kalathil

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Interaction-Grounded Learning for Recommender Systems.

Jessica Maghakian, Kishan Panaganti, Paul Mineiro, Akanksha Saran, Cheng Tan

Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, 2022

Robust Reinforcement Learning using Offline Data.

Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sample Complexity of Robust Reinforcement Learning with a Generative Model.

Kishan Panaganti, Dileep M. Kalathil

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Bounded Regret for Finitely Parameterized Multi-Armed Bandits.

Kishan Panaganti, Dileep M. Kalathil

IEEE Control. Syst. Lett., 2021

Off-Policy Evaluation Using Information Borrowing and Context-Based Switching.

Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick

CoRR, 2021

Sample Complexity of Model-Based Robust Reinforcement Learning.

Kishan Panaganti, Dileep Kalathil

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Model-Free Robust Reinforcement Learning with Linear Function Approximation.

Kishan Panaganti, Dileep M. Kalathil

CoRR, 2020