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Nonstationary Reinforcement Learning with Linear Function Approximation.

, , , and . Trans. Mach. Learn. Res., (2022)

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Nonstationary Reinforcement Learning with Linear Function Approximation., , , and . Trans. Mach. Learn. Res., (2022)Nonstationary Reinforcement Learning with Linear Function Approximation., , , and . CoRR, (2020)Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion., , , , and . CoRR, (2020)Reinforcement Learning in Low-rank MDPs with Density Features., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 13710-13752. PMLR, (2023)Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality., , , , , and . ICLR, OpenReview.net, (2022)Accelerating Nonconvex Learning via Replica Exchange Langevin diffusion., , , , and . ICLR (Poster), OpenReview.net, (2019)Information-Theoretic Considerations in Batch Reinforcement Learning., and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1042-1051. PMLR, (2019)Model-free Representation Learning and Exploration in Low-rank MDPs., , , , and . CoRR, (2021)Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration., , and . AAAI, page 6566-6573. AAAI Press, (2021)Offline reinforcement learning under value and density-ratio realizability: The power of gaps., and . UAI, volume 180 of Proceedings of Machine Learning Research, page 378-388. PMLR, (2022)