Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics. - Stefan Heidekrüger; Paul Sutterer; Nils Kohring; Maximilian Fichtl; Martin Bichler (CoRR, 2021)

Learning equilibria in symmetric auction games using artificial neural networks. - Martin Bichler; Maximilian Fichtl; Stefan Heidekrüger; Nils Kohring; Paul Sutterer (Nat. Mach. Intell., 2021)

Equilibrium Learning in Auction Markets. - Stefan Heidekrüger (AAAI, 2022)

Approaching the Overbidding Puzzle in All-Pay Auctions: Explaining Human Behavior through Bayesian Optimization and Equilibrium Learning. - Markus Ewert; Stefan Heidekrüger; Martin Bichler (AAMAS, 2022)

Learning Equilibria in Asymmetric Auction Games. - Martin Bichler; Nils Kohring; Stefan Heidekrüger (INFORMS J. Comput., 2023)

Learning Continuous and Pure Bayes-Nash Equilibria in Sealed-Bid Auctions (Lernen von stetigen, puren Bayes-Nash-Gleichgewichten in verdeckten Auktionen) - Stefan Heidekrüger (2024)