Learning with Abandonment
نویسندگان
چکیده
Consider a platform that wants to learn a personalized policy for each user, but the platform faces the risk of a user abandoning the platform if she is dissatisfied with the actions of the platform. For example, a platform is interested in personalizing the number of newsletters it sends, but faces the risk that the user unsubscribes forever. We propose a general thresholded learning problem that models scenarios like this, and discuss the structure of optimal policies. We discuss salient features of optimal policies under various assumptions on the distribution of the thresholds and feedback the platform receives.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1802.08718 شماره
صفحات -
تاریخ انتشار 2017