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Matthias Oberlechner
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Year
Computing Bayes Nash equilibrium strategies in auction games via simultaneous online dual averaging
M Bichler, M Fichtl, M Oberlechner
arXiv preprint arXiv:2208.02036, 2022
222022
On the Convergence of Learning Algorithms in Bayesian Auction Games
M Bichler, SB Lunowa, M Oberlechner, FR Pieroth, B Wohlmuth
arXiv preprint arXiv:2311.15398, 2023
32023
Computing Distributional Bayes Nash Equilibria in Auction Games via Gradient Dynamics
M Fichtl, M Oberlechner, M Bichler
AAAI-22 Workshop on Reinforcement Learning in Games, 2022
22022
Learning equilibrium in bilateral bargaining games
M Bichler, N Kohring, M Oberlechner, FR Pieroth
European Journal of Operational Research 311 (2), 660-678, 2023
12023
Low Revenue in Display Ad Auctions: Algorithmic Collusion vs. Non-Quasilinear Preferences
M Bichler, A Gupta, L Mathews, M Oberlechner
arXiv preprint arXiv:2312.00243, 2023
12023
Online Optimization Algorithms in Repeated Price Competition: Equilibrium Learning and Algorithmic Collusion
M Bichler, J Durmann, M Oberlechner
arXiv preprint arXiv:2412.15707, 2024
2024
Approximating Bayes Nash Equilibria in Auction Games via Gradient Dynamics
M Fichtl, M Oberlechner, M Bichler
NeurIPS Workshops on Strategic Machine Learning, 2021
2021
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Articles 1–7