Reinforcement Learning in Latent Heterogeneous Environments
Author:
Affiliation:
1. New York University
2. Amazon Inc.
3. University of California, Berkeley
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2024.2308317
Reference25 articles.
1. Blundell R. MaCurdy T. & Meghir C. (2007). Labor supply models: Unobserved heterogeneity nonparticipation and dynamics. Handbook of Econometrics 6 4667–4775.
2. Bonhomme S. Lamadon T. & Manresa E. (2022). Discretizing unobserved heterogeneity. Econometrica 90 (2) 625–643.
3. Cherry T. L. (1999). Unobserved heterogeneity bias when estimating the economic model of crime. Applied Economics Letters 6 (11) 753–757.
4. Ertefaie A. & Strawderman R. L. (2018). Constructing dynamic treatment regimes over indefinite time horizons. Biometrika 105 (4) 963–977.
5. Fan J. & Li R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American statistical Association 96 (456) 1348–1360.
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