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