Online Learning and Collusion in Multi-Unit Auctions

In a carbon auction, licenses for CO2 emissions are allocated among multiple interested players. Inspired by this setting, we consider repeated multi-unit auctions with uniform pricing, which are widely used in practice. Our contribution is to analyze the bidding strategies and properties of these auctions in both the offline and online settings. We also analyze the quality of the equilibria through the lens of the core solution concept. Based on joint work with Mahsa Derakhshan, Negin Golrezaei, and Yanjun Han.