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"Double Pessimism is Provably Efficient for Distributionally Robust Offline ..."

Jose H. Blanchet et al. (2023)

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DOI: 10.48550/ARXIV.2305.09659

access: open

type: Informal or Other Publication

metadata version: 2023-12-11

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  dblp key:
  - journals/corr/abs-2305-09659
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  - https://dblp.org/rec/journals/corr/abs-2305-09659
Jose H. Blanchet, Miao Lu, Tong Zhang, Han Zhong:
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage. CoRR abs/2305.09659 (2023)

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