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Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning.

, , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 9728-9754. PMLR, (2023)

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Sample Complexity of Model-Based Robust Reinforcement Learning., and . CDC, page 2240-2245. IEEE, (2021)Bounded Regret for Finitely Parameterized Multi-Armed Bandits., and . CoRR, (2020)Sample Complexity of Robust Reinforcement Learning with a Generative Model., and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 9582-9602. PMLR, (2022)Distributionally Robust Constrained Reinforcement Learning under Strong Duality., , , , , and . CoRR, (2024)Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage., , , and . CoRR, (2023)Distributionally Robust Behavioral Cloning for Robust Imitation Learning., , , and . CDC, page 1342-1347. IEEE, (2023)Robust Reinforcement Learning using Offline Data., , , and . NeurIPS, (2022)Interaction-Grounded Learning for Recommender Systems., , , , and . ORSUM@RecSys, volume 3303 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 9728-9754. PMLR, (2023)Tractable Equilibrium Computation in Markov Games through Risk Aversion., , and . CoRR, (2024)