1 citations · 1 across the 2 of their papers we have counts for
11 papers
Online Optimization Algorithms in Repeated Price Competition: Equilibrium Learning and Algorithmic Collusion
Martin Bichler, Julius Durmann, Matthias Oberlechner
This paper investigates whether online learning algorithms in pricing produce competitive outcomes or tacit collusion. This issue has drawn considerable attention from competition…
Convergence of Stochastic First-Order Algorithms in Bertrand Competition Under Incomplete Information
Martin Bichler, Jan-Sebastian Hoehener
Autonomous pricing agents are widely deployed in online marketplaces, making algorithmic pricing a prominent application of multi-agent learning. Experimental studies often report…
Distributionally Robust Contract Design with Deferred Inspection
Halil I. Bayrak, Martin Bichler
We study a robust contract design problem with deferred inspection, in which a principal allocates a scarce resource to an agent, observes the agent's realized outcome ex post at n…
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…
Agentic Markets: Game Dynamics and Equilibrium in Markets with Learning Agents
Martin Bichler, Julius Durmann, Matthias Oberlechner
Autonomous and learning agents increasingly participate in markets - setting prices, placing bids, ordering inventory. Such agents are not just aiming to optimize in an uncertain e…
Semicoarse Correlated Equilibria and LP-Based Guarantees for Gradient Dynamics in Normal-Form Games
Mete Åeref Ahunbay, Martin Bichler
Projected gradient ascent is known to satisfy no-external regret as a learning algorithm. However, recent empirical work shows that projected gradient ascent often finds the Nash e…