On Learning Stable Cooperation in the Iterated Prisoner's Dilemma with Paid Incentives. - Xiyue Sun; Fabian R. Pieroth; Kyrill Schmid; Martin Wirsing; Lenz Belzner (ICDCS Workshops, 2022)

α-Rank-Collections: Analyzing Expected Strategic Behavior with Uncertain Utilities. - Fabian R. Pieroth; Martin Bichler (CoRR, 2022)

Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets. - Nils Kohring; Fabian Raoul Pieroth; Martin Bichler (ICML, 2023)

On the Convergence of Learning Algorithms in Bayesian Auction Games. - Martin Bichler; Stephan B. Lunowa; Matthias Oberlechner; Fabian R. Pieroth; Barbara I. Wohlmuth (CoRR, 2023)

Equilibrium Computation in Multi-Stage Auctions and Contests. - Fabian R. Pieroth; Nils Kohring; Martin Bichler (CoRR, 2023)

Learning equilibrium in bilateral bargaining games. - Martin Bichler; Nils Kohring; Matthias Oberlechner; Fabian R. Pieroth (Eur. J. Oper. Res., 2023)

Detecting Influence Structures in Multi-Agent Reinforcement Learning. - Fabian Raoul Pieroth; Katherine E. Fitch; Lenz Belzner (ICML, 2024)

Alpha-Rank-Collections: Analyzing Expected Strategic Behavior with Uncertain Utilities. - Fabian Raoul Pieroth; Martin Bichler (EC, 2024)

Verifying Approximate Equilibrium in Auctions. - Fabian R. Pieroth; Tuomas Sandholm (CoRR, 2024)

Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games. - Martin Bichler; Stephan B. Lunowa; Matthias Oberlechner; Fabian R. Pieroth; Barbara I. Wohlmuth (AAAI, 2025)