Abstract
Bilateral trade, a fundamental topic in economics, models the problem of intermediating between two strategic agents, a seller and a buyer, willing to trade a good for which they hold private valuations. In this paper, we cast the bilateral trade problem in a regret minimization framework over T rounds of seller/buyer interactions, with no prior knowledge on their private valuations. Our main contribution is a complete characterization of the regret regimes for fixed-price mechanisms with different feedback models and private valuations, using as a benchmark the best fixed price in hindsight. More precisely, we prove the following tight bounds on the regret: • Θ(√ffiffiffi T) for full-feedback (i.e., direct revelation mechanisms). • Θ(T2=3) for realistic feedback (i.e., posted-price mechanisms) and independent seller/buyer valuations with bounded densities. • Θ(T) for realistic feedback and seller/buyer valuations with bounded densities. • Θ(T) for realistic feedback and independent seller/buyer valuations. • Θ(T) for the adversarial setting.
| Original language | English |
|---|---|
| Pages (from-to) | 171-203 |
| Number of pages | 33 |
| Journal | Mathematics of Operations Research |
| Volume | 49 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 17 Feb 2024 |
Bibliographical note
Publisher Copyright:© 2023 INFORMS.
Keywords
- online learning
- partial monitoring
- posted-price mechanisms
- two-sided markets
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