Repeated Games
Overview
Repeated games examine how repeated interaction, memory, and expectations shape cooperation, competition, bargaining, and punishment. Researchers analyze equilibrium and zero-determinant strategies, regret guarantees, and learning methods such as Q-learning, fictitious play, and Bayesian opponent modeling. Empirical work also tests how communication, reputation, and history affect human and language-model agents, while applications include negotiation, auctions, and algorithmic pricing. A central tension is whether learning and communication foster stable cooperation or instead enable exploitation and retaliatory collusion, especially when agents adapt to one another.
Latest papers
21 papers1 paper in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.