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No-Regret Learning in Bilateral Trade via Global Budget Balance
March 28, 2024, 4:43 a.m. | Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco
cs.LG updates on arXiv.org arxiv.org
Abstract: Bilateral trade models the problem of intermediating between two rational agents -- a seller and a buyer -- both characterized by a private valuation for an item they want to trade. We study the online learning version of the problem, in which at each time step a new seller and buyer arrive and the learner has to set prices for them without any knowledge about their (adversarially generated) valuations.
In this setting, known impossibility results …
abstract agents arxiv balance budget cs.gt cs.lg global online learning study trade type valuation via
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