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Matthias Oberlechner
Matthias Oberlechner
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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
72022
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 (AAAI-RLG 22), 2022
12022
Learning equilibrium in bilateral bargaining games
M Bichler, N Kohring, M Oberlechner, FR Pieroth
European Journal of Operational Research 311 (2), 660-678, 2023
2023
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
2023
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
2023
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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