Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts

NeurIPSSpotlight2025

Authors
Benjamin Schiffer, Mark Sellke
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

In the incentivized exploration model, a principal aims to explore and learn over time by interacting with a sequence of self-interested agents…

Opening excerpt from the authors’ abstract. source

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Topics

exploration efficient agent

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