Offline Multi-Action Policy Learning: Generalization and Optimization

arXiv: Machine Learning, Volume abs/1810.04778, 2018.

Cited by: 25|Views31
EI

Abstract:

In many settings, a decision-maker wishes to learn a rule, or policy, that maps from observable characteristics of an individual to an action. Examples include selecting offers, prices, advertisements, or emails to send to consumers, as well as the problem of determining which medication to prescribe to a patient. While there is a growing...More

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