An $Ξ±$-regret analysis of Adversarial Bilateral Trade

October 13, 2022 Β· Declared Dead Β· πŸ› Neural Information Processing Systems

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Authors Yossi Azar, Amos Fiat, Federico Fusco arXiv ID 2210.06846 Category cs.GT: Game Theory Cross-listed cs.DS, cs.LG Citations 19 Venue Neural Information Processing Systems Last Checked 6 months ago
Abstract
We study sequential bilateral trade where sellers and buyers valuations are completely arbitrary (i.e., determined by an adversary). Sellers and buyers are strategic agents with private valuations for the good and the goal is to design a mechanism that maximizes efficiency (or gain from trade) while being incentive compatible, individually rational and budget balanced. In this paper we consider gain from trade which is harder to approximate than social welfare. We consider a variety of feedback scenarios and distinguish the cases where the mechanism posts one price and when it can post different prices for buyer and seller. We show several surprising results about the separation between the different scenarios. In particular we show that (a) it is impossible to achieve sublinear $Ξ±$-regret for any $Ξ±<2$, (b) but with full feedback sublinear $2$-regret is achievable (c) with a single price and partial feedback one cannot get sublinear $Ξ±$ regret for any constant $Ξ±$ (d) nevertheless, posting two prices even with one-bit feedback achieves sublinear $2$-regret, and (e) there is a provable separation in the $2$-regret bounds between full and partial feedback.
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