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cs.GT2026
Simultaneous Gradient Learning in First-Price Auctions
Janik Bürgermeister, Julius Durmann, Martin Bichler +3
We study equilibrium learning in discretized Bayesian games, focusing on first-price auctions as a testbed for gradient-based learning dynamics under private information. While the…
cs.LG2026
Mean-based algorithms: A lower bound and regret
Julius Durmann, Amelie Kleber
Mean-based algorithms are online learning algorithms that assign low probability to actions with low average rewards. Recent research shows that they converge to serially undominat…