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ORCIDKishan Panaganti
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2020 – today
- 2024
[c8]Kishan Panaganti, Adam Wierman, Eric Mazumdar:
Model-Free Robust ϕ-Divergence Reinforcement Learning Using Both Offline and Online Data. ICML 2024- [i11]Kishan Panaganti, Adam Wierman, Eric Mazumdar:
Model-Free Robust φ-Divergence Reinforcement Learning Using Both Offline and Online Data. CoRR abs/2405.05468 (2024) - [i10]Eric Mazumdar, Kishan Panaganti, Laixi Shi:
Tractable Equilibrium Computation in Markov Games through Risk Aversion. CoRR abs/2406.14156 (2024) - [i9]Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue:
Distributionally Robust Constrained Reinforcement Learning under Strong Duality. CoRR abs/2406.15788 (2024) - 2023
- [c7]Zaiyan Xu, Kishan Panaganti, Dileep Kalathil:
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning. AISTATS 2023: 9728-9754 - [c6]Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh:
Distributionally Robust Behavioral Cloning for Robust Imitation Learning. CDC 2023: 1342-1347 - [c5]Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan:
Personalized Reward Learning with Interaction-Grounded Learning (IGL). ICLR 2023 - [i8]Zaiyan Xu, Kishan Panaganti, Dileep Kalathil:
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning. CoRR abs/2303.02783 (2023) - [i7]Kishan Panaganti, Zaiyan Xu, Dileep M. Kalathil, Mohammad Ghavamzadeh:
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage. CoRR abs/2310.18434 (2023) - 2022
- [c4]Kishan Panaganti, Dileep M. Kalathil:
Sample Complexity of Robust Reinforcement Learning with a Generative Model. AISTATS 2022: 9582-9602 - [c3]Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh:
Robust Reinforcement Learning using Offline Data. NeurIPS 2022 - [c2]Jessica Maghakian, Kishan Panaganti, Paul Mineiro, Akanksha Saran, Cheng Tan:
Interaction-Grounded Learning for Recommender Systems. ORSUM@RecSys 2022 - [i6]Kishan Panaganti, Zaiyan Xu
, Dileep M. Kalathil, Mohammad Ghavamzadeh:
Robust Reinforcement Learning using Offline Data. CoRR abs/2208.05129 (2022) - [i5]Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan:
Personalized Reward Learning with Interaction-Grounded Learning (IGL). CoRR abs/2211.15823 (2022) - 2021
- [j1]Kishan Panaganti, Dileep M. Kalathil:
Bounded Regret for Finitely Parameterized Multi-Armed Bandits. IEEE Control. Syst. Lett. 5(3): 1073-1078 (2021) - [c1]Kishan Panaganti, Dileep Kalathil:
Sample Complexity of Model-Based Robust Reinforcement Learning. CDC 2021: 2240-2245 - [i4]Kishan Panaganti, Dileep Kalathil:
Sample Complexity of Robust Reinforcement Learning with a Generative Model. CoRR abs/2112.01506 (2021) - [i3]Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick:
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. CoRR abs/2112.09865 (2021) - 2020
- [i2]Kishan Panaganti, Dileep M. Kalathil:
Bounded Regret for Finitely Parameterized Multi-Armed Bandits. CoRR abs/2003.01328 (2020) - [i1]Kishan Panaganti, Dileep M. Kalathil:
Model-Free Robust Reinforcement Learning with Linear Function Approximation. CoRR abs/2006.11608 (2020)
Coauthor Index
aka: Dileep Kalathil
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