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 | 13 | 2022 |
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 | 2 | 2023 |
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 | 2 | 2022 |
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 | 1 | 2023 |
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 |
Approximating Bayes Nash Equilibria in Auction Games via Gradient Dynamics M Fichtl, M Oberlechner, M Bichler NeurIPS Workshops on Strategic Machine Learning, 2021 | | 2021 |