| Learning equilibria in symmetric auction games using artificial neural networks M Bichler, M Fichtl, S Heidekrüger, N Kohring, P Sutterer Nature Machine Intelligence 3 (8), 687-695, 2021 | 47 | 2021 |
| Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets N Kohring, FR Pieroth, M Bichler International Conference on Machine Learning, 17327-17342, 2023 | 8 | 2023 |
| Learning Equilibria in Asymmetric Auction Games M Bichler, N Kohring, S Heidekrüger INFORMS Journal on Computing 35 (3), 523-542, 2023 | 8 | 2023 |
| Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics S Heidekrüger, P Sutterer, N Kohring, M Fichtl, M Bichler arXiv preprint arXiv:2101.11946, 2021 | 8 | 2021 |
| Deep Reinforcement Learning for Equilibrium Computation in Multi-Stage Auctions and Contests FR Pieroth, N Kohring, M Bichler Agentic Markets Workshop at ICML 2024, 0 | 2* | |
| Equilibrium Computation for Auction Games via Multi-Swarm Optimization N Kohring, C Fröhlich, S Heidekrüger, M Bichler AAAI RLG Workshop, 2022 | 1* | 2022 |
| Multiagent learning for equilibrium computation in auction markets S Heidekrüger, N Kohring, P Sutterer, M Bichler AAAI Spring Symposium on Challenges and Opportunities for Multi-Agent …, 2021 | 1 | 2021 |
| 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 |
Stefan HeidekrügerTechnical University of MunichVerified email at in.tum.de
