M. Bichler, N. Kohring, M. Oberlechner, and F. Pieroth. Learning equilibrium in bilateral bargaining games. European Journal on Operational Research, 275(1):1–30, 2023. [ pdf ]

M. Bichler, S. Heidekrueger, and N. Kohring. Learning equilibria in asymmetric auction games. INFORMS Journal on Computing, to appear, August 2022. [ link ]

N. Kohring, C. Fröhlich, S. Heidekrüger, and M. Bichler. Equilibrium computation for auction games via multi-swarm optimization. In AAAI-22 Workshop on Reinforcement Learning in Games (AAAI-RLG 22), Online, Online, February 2022. [ pdf ]

M. Bichler, M. Fichtl, S. Heidekrüger, N. Kohring, and P. Sutterer. Learning equilibria in symmetric auction games using artificial neural networks. Nature Machine Intelligence, 3:687–695, August 2021. [ DOI | link | pdf ]

S. Heidekrüger, N. Kohring, P. Sutterer, and M. Bichler. Equilibrium learning in combinatorial auctions: Computing approximate bayesian nash equilibria via pseudogradient dynamics. In AAAI-21 Workshop on Reinforcement Learning in Games (AAAI-RLG 21), Online, Online, 2021.

S. Heidekrüger, N. Kohring, P. Sutterer, and M. Bichler. Multiagent learning for equilibrium computation in auction markets. In AAAI Spring Symposium on Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL-21), Online, Online, 2021.

S. Heidekrüger, P. Sutterer, N. Kohring, and M. Bichler. Learning bayesian nash equilibria in auction games. In INFORMS Workshop on Data Science, Online, 2020.

S. Heidekrüger, P. Sutterer, N. Kohring, and M. Bichler. Equilibrium learning in combinatorial auctions: Computing approximate bayesian nash equilibria via pseudogradient dynamics. In Workshop on Information Technology and Systems (WITS20), Online, Online, 2020.