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"Adversarially Trained Environment Models Are Effective Policy Evaluators ..."

Yao Li et al. (2023)

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DOI: 10.1145/3627676.3627680

access: closed

type: Conference or Workshop Paper

metadata version: 2024-01-13

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  - https://dblp.org/rec/conf/dai2/LiLDLLL023
Yao Li, Yifan Liu, Xinyi Dai, Jianghao Lin, Hang Lai, Yunfei Liu, Yong Yu:
Adversarially Trained Environment Models Are Effective Policy Evaluators and Improvers - An Application to Information Retrieval. DAI 2023: 8:1-8:12

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