Sample Complexity of Incentivized Exploration

Sellke Mark
Sellke Mark
Cited by: 0|Bibtex|Views2
Other Links: arxiv.org

Abstract:

We consider incentivized exploration: a version of multi-armed bandits where the choice of actions is controlled by self-interested agents, and the algorithm can only issue recommendations. The algorithm controls the flow of information, and the information asymmetry can incentivize the agents to explore. Prior work matches the optimal ...More

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