Research
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Regret Bounds for Profit Maximization in Bilateral Trade: Learning the Best Posted-Price Mechanism
Key Insights
- Bilateral trade models the task of intermediating between two strategic agents, a seller and a buyer, willing to trade a good for which they hold private valuations.
- We study this problem from the per.
Cite this synthesis
DOI: 10.48550/arXiv.2611.08173 ↗
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@misc{ acaciacompliance-research-regret-bounds-for-profit-maximization-in-bilateral-trade-lea,
title = { Regret Bounds for Profit Maximization in Bilateral Trade: Learning the Best Posted-Price Mechanism },
author = { Leszek },
year = { 2026 },
doi = { 10.48550/arXiv.2611.08173 },
url = { http://arxiv.org/abs/2611.08173v1 },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - Regret Bounds for Profit Maximization in Bilateral Trade: Learning the Best Posted-Price Mechanism AU - Leszek PY - 2026 DO - 10.48550/arXiv.2611.08173 UR - http://arxiv.org/abs/2611.08173v1 ER -
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Overview
Bilateral trade models the task of intermediating between two strategic agents, a seller and a buyer, willing to trade a good for which they hold private valuations. We study this problem from the per
Why It Matters
This item adds to the AML and compliance knowledge base. Practitioners can use it to stay current on Regret Bounds for Profit Maximization in Bilateral Trade: Learning the Best Posted-Price Mechanism, but should validate its claims against primary sources and more recent work before relying on it in production decisions.
Key Takeaways
- Understand how Regret Bounds for Profit Maximization in Bilateral Trade: Learning the Best Posted-Price Mechanism relates to AML and compliance workflows and controls.
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