"Finite Sample Analysis of Minimax Offline Reinforcement Learning: ..."

Masatoshi Uehara et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-08-18

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2102-02981
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  - https://dblp.org/rec/journals/corr/abs-2102-02981
Masatoshi Uehara, Masaaki Imaizumi, Nan Jiang, Nathan Kallus, Wen Sun, Tengyang Xie:
Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency. CoRR abs/2102.02981 (2021)

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