3 papers
econ.GN2025
Learning to Charge More: A Theoretical Study of Collusion by Q-Learning Agents
Cristian Chica, Yinglong Guo, Gilad Lerman
There is growing experimental evidence that -learning agents may learn to charge supracompetitive prices. We provide the first theoretical explanation for this behavior in infin…
econ.GN2025
Competition and Collusion in Two-Sided Markets with an Outside Option
Cristian Chica, Yinglong Guo, Gilad Lerman
We introduce pricing formulas for competition and collusion models of two-sided markets with an outside option. For the competition model, we find conditions under which prices and…
econ.GN2024
Artificial Intelligence and Algorithmic Price Collusion in Two-sided Markets
Cristian Chica, Yinglong Guo, Gilad Lerman
Algorithmic price collusion facilitated by artificial intelligence (AI) algorithms raises significant concerns. We examine how AI agents using Q-learning engage in tacit collusion…