A reinforcement learning approach to personalized learning recommendation systems-Reference-Cited by-同舟云学术

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A reinforcement learning approach to personalized learning recommendation systems

Published:2018-09-12 Issue:1 Volume:72 Page:108-135
ISSN:0007-1102
Container-title:British Journal of Mathematical and Statistical Psychology
language:en
Short-container-title:Br J Math Stat Psychol

Author:

Tang Xueying¹,Chen Yunxiao²^ORCID,Li Xiaoou³,Liu Jingchen¹,Ying Zhiliang¹

Affiliation:

1. Department of Statistics Columbia University New York New York USA

2. Department of Psychology Institute for Quantitative Theory and Methods Emory University Atlanta Georgia USA

3. School of Statistics University of Minnesota Minneapolis Minnesota USA

Funder

National Science Foundation

Army Research Office

National Institutes of Health

Publisher

Wiley

Subject

General Psychology,Arts and Humanities (miscellaneous),General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bmsp.12144

Reference38 articles.

1. Arulkumaran K. Deisenroth M. P. Brundage M. &Bharath A. A.(2017).Deep reinforcement learning: A brief survey. IEEE Signal Processing Magazine.34(6) 26–38.https://doi.org/10.1109/MSP.2017.2743240

2. A Group-Specific Recommender System

3. High-dimensional Exploratory Item Factor Analysis by A Metropolis–Hastings Robbins–Monro Algorithm

4. Statistical Methods for Dynamic Treatment Regimes

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