 Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph FormInternational Conference on Learning Representations (ICLR), 2024 |
 Distributionally Robust Reinforcement Learning with Interactive Data
Collection: Fundamental Hardness and Near-Optimal AlgorithmNeural Information Processing Systems (NeurIPS), 2024 |
 Distributionally Robust Model-based Reinforcement Learning with Large
State SpacesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Seeing is not Believing: Robust Reinforcement Learning against Spurious
CorrelationNeural Information Processing Systems (NeurIPS), 2023 |
 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative ModelNeural Information Processing Systems (NeurIPS), 2023 |
 Double Pessimism is Provably Efficient for Distributionally Robust
Offline Reinforcement Learning: Generic Algorithm and Robust Partial CoverageNeural Information Processing Systems (NeurIPS), 2023 |
