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Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning



Andrea Zanette , Martin J. Wainwright

* Appears in ICML 2022 

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Optimally tackling covariate shift in RKHS-based nonparametric regression



Cong Ma , Reese Pathak , Martin J. Wainwright


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Bellman Residual Orthogonalization for Offline Reinforcement Learning



Andrea Zanette , Martin J. Wainwright

* Initial Submission 

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A new similarity measure for covariate shift with applications to nonparametric regression



Reese Pathak , Cong Ma , Martin J. Wainwright

* 22 pages, 2 figures, 1 table 

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Instance-Dependent Confidence and Early Stopping for Reinforcement Learning



Koulik Khamaru , Eric Xia , Martin J. Wainwright , Michael I. Jordan


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Optimal variance-reduced stochastic approximation in Banach spaces



Wenlong Mou , Koulik Khamaru , Martin J. Wainwright , Peter L. Bartlett , Michael I. Jordan


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Optimal and instance-dependent guarantees for Markovian linear stochastic approximation



Wenlong Mou , Ashwin Pananjady , Martin J. Wainwright , Peter L. Bartlett


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Optimal policy evaluation using kernel-based temporal difference methods



Yaqi Duan , Mengdi Wang , Martin J. Wainwright


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Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning



Andrea Zanette , Martin J. Wainwright , Emma Brunskill

* Initial submission; appeared as spotlight talk in ICML 2021 Workshop on Theory of RL 

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Near-optimal inference in adaptive linear regression



Koulik Khamaru , Yash Deshpande , Lester Mackey , Martin J. Wainwright

* 41 pages, 7 figures 

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