Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons-Reference-Cited by-同舟云学术

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Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons

Published:2022-09-27 Issue: Volume: Page:1-14
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Shi Chengchun¹,Luo Shikai²,Le Yuan³,Zhu Hongtu⁴,Song Rui⁵^ORCID

Affiliation:

1. London School of Economics and Political Science, London, UK

2. ByteDance, Beijing, China

3. Shanghai University of Finance and Economics, Shanghai, China

4. University of North Carolina at Chapel Hill, Chapel Hill, NC

5. North Carolina State University, Raleigh, NC

Funder

Engineering and Physical Sciences Research Council

EPSRC

NSF

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2022.2106868

Reference76 articles.

1. Fast learning rates for plug-in classifiers

2. Doubly Robust Estimation in Missing Data and Causal Inference Models

3. Basic Properties of Strong Mixing Conditions. A Survey and Some Open Questions

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