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Statistical inference of the value function for reinforcement learning in infinite‐horizon settings.

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Title: Statistical inference of the value function for reinforcement learning in infinite‐horizon settings.
Authors: Shi, Chengchun1, Zhang, Sheng2, Lu, Wenbin2, Song, Rui2, rsong@ncsu.edu
Source: Journal of the Royal Statistical Society: Series B (Statistical Methodology); Jul2022, Vol. 84 Issue 3, p765-793, 29p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="AU" term="%22Shi%2C+Chengchun%22">Shi, Chengchun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Sheng%22">Zhang, Sheng</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Lu%2C+Wenbin%22">Lu, Wenbin</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Song%2C+Rui%22">Song, Rui</searchLink><relatesTo>2</relatesTo>, <i>rsong@ncsu.edu</i>
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      – Type: doi
        Value: 10.1111/rssb.12465
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      – Code: eng
        Text: English
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        PageCount: 29
        StartPage: 765
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      – TitleFull: Statistical inference of the value function for reinforcement learning in infinite‐horizon settings.
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            NameFull: Shi, Chengchun
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            NameFull: Zhang, Sheng
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            NameFull: Lu, Wenbin
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            NameFull: Song, Rui
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            – D: 01
              M: 07
              Text: Jul2022
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              Y: 2022
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              Value: 84
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            – TitleFull: Journal of the Royal Statistical Society: Series B (Statistical Methodology)
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