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"A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation ..."

Chengchun Shi et al. (2022)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-05-02

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2202-10574
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2202-10574
Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu:
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. CoRR abs/2202.10574 (2022)

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