In contexts in which players have no priors, we analyze a learning process based on ex-post regret as a guide to …

In contexts in which players have no priors, we analyze a learning process based on ex-post regret as a guide to …. -- Fixed and Random Matching ; Incomplete Information ; Ex-Post Regret Learning ; Nash Equilibrium ; Ex-Post Equilibrium … ; Minimax Regret Equilibrium ; Second-Price Auction ; First-Price Auction ; Bertrand Duopoly …

This paper presents an experiment on learning in repeated games, which complements the analysis of players' actual … makes markets more competitive. Reinforcement learning also plays a role, as subjects favor strategies that have yielded … a priori information. The econometrics hinges on a model built upon Experience Weighted Attraction learning, and the …

We study extrapolation between games in a laboratory experiment. Participants in our experiment first play either the …

We study extrapolation between games in a laboratory experiment. Participants in our experiment first play either the … are also able to learn structural properties of the games. -- Game Theory ; Learning ; Extrapolation …

are rare. Thus, even in a world of simple learning agents, coordination behavior can take on some surprising forms. …

several well-known learning processes in the minority game with an arbitrary odd number of players. Interestingly, different … learning processes provide considerably different predictions …

We conducted laboratory experiments to investigate how private and public information affect the selection and timing … of technology adoption. Our experiments extend the standard herding model to more accurately represent the innovation …

of agents who learn which frames to use through reinforcement. As a case study we fit the model to existing experimental … suggests a trade-off of using coarser versus finer representations of the strategy set when it comes to learning. …