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More Efficient Off-Policy Evaluation through Regularized Targeted Learning

Research article (arXiv (Cornell University), 2019) · cited 17× · AI/ML
academia openalex:W2953633867
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More Efficient Off-Policy Evaluation through Regularized Targeted Learning

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More Efficient Off-Policy Evaluation through Regularized Targeted Learning is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). More Efficient Off-Policy Evaluation through Regularized Targeted Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/more-efficient-off-policy-evaluation-through-regularized-targeted-learning
MLA “More Efficient Off-Policy Evaluation through Regularized Targeted Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/more-efficient-off-policy-evaluation-through-regularized-targeted-learning.
BibTeX @misc{4ortxyz_more-efficient-off-policy-evaluation-through-regularized-targeted-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{More Efficient Off-Policy Evaluation through Regularized Targeted Learning}}, year = {2026}, url = {https://4ort.xyz/entity/more-efficient-off-policy-evaluation-through-regularized-targeted-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): More Efficient Off-Policy Evaluation through Regularized Targeted Learning — https://4ort.xyz/entity/more-efficient-off-policy-evaluation-through-regularized-targeted-learning (retrieved 2026-05-24)

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