activity
20222026
most citedEnabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

cs.GT2026

How language model agents reshape price competition

Martin Bichler, Philip Hierhager, Kassian Köck +1

Repeated Bertrand competition is a stringent benchmark for algorithmic pricing: in homogeneous-goods markets, standard learning procedures typically select the stage-game Nash outc…

cs.GT2025

Algorithmic Predation: Equilibrium Analysis in Dynamic Oligopolies with Smooth Market Sharing

Fabian Raoul Pieroth, Ole Petersen, Martin Bichler

Predatory pricing -- where a firm strategically lowers prices to undermine competitors -- is a contentious topic in dynamic oligopoly theory, with scholars debating practical relev…

cs.GT2024

Verifying Approximate Equilibrium in Auctions

Fabian R. Pieroth, Tuomas Sandholm

In practice, most auction mechanisms are not strategy-proof, so equilibrium analysis is required to predict bidding behavior. In many auctions, though, an exact equilibrium is not…

cs.GT2023

Equilibrium Computation in Multi-Stage Auctions and Contests

Fabian R. Pieroth, Nils Kohring, Martin Bichler

We compute equilibrium strategies in multi-stage games with continuous signal and action spaces as they are widely used in the management sciences and economics. Examples include s…

cs.GT2023

On the Convergence of Learning Algorithms in Bayesian Auction Games

Martin Bichler, Stephan B. Lunowa, Matthias Oberlechner +2

Equilibrium problems in Bayesian auction games can be described as systems of differential equations. Depending on the model assumptions, these equations might be such that we do n…

cs.GT2023★ 1 cited

Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets

Nils Kohring, Fabian R. Pieroth, Martin Bichler

Understanding and analyzing markets is crucial, yet analytical equilibrium solutions remain largely infeasible. Recent breakthroughs in equilibrium computation rely on zeroth-order…

cs.GT2022

-Rank-Collections: Analyzing Expected Strategic Behavior with Uncertain Utilities

Fabian R. Pieroth, Martin Bichler

Game theory relies heavily on the availability of cardinal utility functions, but in fields such as matching markets, only ordinal preferences are typically elicited. The literatur…