Incentivizing Exploration with Selective Data Disclosure

Nicole Immorlica
Nicole Immorlica
Jieming Mao
Jieming Mao

EC '20: The 21st ACM Conference on Economics and Computation Virtual Event Hungary July, 2020, pp. 647-648, 2020.

Cited by: 7|Bibtex|Views29|DOI:https://doi.org/10.1145/3391403.3399487
EI
Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

We study the design of rating systems that incentivize (more) efficient social learning among self-interested agents. Agents arrive sequentially and are presented with a set of possible actions, each of which yields a positive reward with an unknown probability. A disclosure policy sends messages about the rewards of previously-chosen act...More

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