Kishan Panaganti

Orcid: 0000-0001-9746-698X

According to our database1, Kishan Panaganti authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Distributionally Robust Constrained Reinforcement Learning under Strong Duality.
CoRR, 2024

Tractable Equilibrium Computation in Markov Games through Risk Aversion.
CoRR, 2024

Model-Free Robust ϕ-Divergence Reinforcement Learning Using Both Offline and Online Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage.
CoRR, 2023

Personalized Reward Learning with Interaction-Grounded Learning (IGL).
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distributionally Robust Behavioral Cloning for Robust Imitation Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Interaction-Grounded Learning for Recommender Systems.
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.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Bounded Regret for Finitely Parameterized Multi-Armed Bandits.
IEEE Control. Syst. Lett., 2021

Off-Policy Evaluation Using Information Borrowing and Context-Based Switching.
CoRR, 2021

Sample Complexity of Model-Based Robust Reinforcement Learning.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Model-Free Robust Reinforcement Learning with Linear Function Approximation.
CoRR, 2020


  Loading...