ERC Starting Grant · 2018
Machine Learning-based Market Design
Market designers study how to set the "rules of a marketplace" such that the market works well. However, markets are getting increasingly complex such that designing good market mechanisms "by hand" is often infeasible, in particular when certain design desiderata (such as efficiency, strategyproofness, or fairness) are in conflict with each other. Moreover, human agents are boundedly-rational: already in small domains, they are best modeled as having incomplete preferences, because they may only know a ranking or the values of their top choices. In combinatorial domains, the number of choices grows exponentially, such that it quickly becomes impossible for an agent to report its full…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.