On the Convergence of Learning Algorithms in Bayesian Auction Games. - Martin Bichler; Stephan B. Lunowa; Matthias Oberlechner; Fabian R. Pieroth; Barbara I. Wohlmuth (CoRR, 2023)

Low Revenue in Display Ad Auctions: Algorithmic Collusion vs. Non-Quasilinear Preferences. - Martin Bichler; Alok Gupta; Laura Mathews; Matthias Oberlechner (CoRR, 2023)

Learning equilibrium in bilateral bargaining games. - Martin Bichler; Nils Kohring; Matthias Oberlechner; Fabian R. Pieroth (Eur. J. Oper. Res., 2023)

Online Optimization Algorithms in Repeated Price Competition: Equilibrium Learning and Algorithmic Collusion. - Martin Bichler; Julius Durmann; Matthias Oberlechner (CoRR, 2024)

Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games. - Martin Bichler; Stephan B. Lunowa; Matthias Oberlechner; Fabian R. Pieroth; Barbara I. Wohlmuth (AAAI, 2025)

Computing Bayes-Nash Equilibrium Strategies in Auction Games via Simultaneous Online Dual Averaging. - Martin Bichler; Maximilian Fichtl; Matthias Oberlechner (Oper. Res., 2025)

Characterizing the Convergence of Game Dynamics via Potentialness. - Martin Bichler; Davide Legacci; Panayotis Mertikopoulos; Matthias Oberlechner; Bary S. R. Pradelski (Trans. Mach. Learn. Res., 2025)

Algorithmic Pricing and Algorithmic Collusion. - Martin Bichler; Julius Durmann; Matthias Oberlechner (CoRR, 2025)

Agentic Markets: Game Dynamics and Equilibrium in Markets with Learning Agents. - Martin Bichler; Julius Durmann; Matthias Oberlechner (CoRR, 2025)