are in the dark about others' actions and the payoff structure.  This paper analyzes learning behavior in such 'black box … we study voluntary contributions games.  We identify two robust features of the players' learning dynamics: search …

performance. Measured performance equals actual performance plus noise. We compare a stable environment where the noise is small … with a volatile environment where the noise is large. Subjects exert significantly more effort in the volatile environment …

a complicated and non-intuitive mixed strategy equilibrium.  We argue that standard models of belief-based learning and … reinforcement learning are unable to explain the data, but that a simple model of similarity-based global cumulative imitation can … three other games.  The theoretical properties of the proposed learning model are studied by means of stochastic …

We propose a simple payoff-based learning rule that is completely decentralized, and that leads to an efficient … control of wind farms.  The proof of the proposed learning algorithm relies on the theory of large deviations for perturbed …

other, and can delay their decision. Subjects acted rationally, gaining from observational learning, despite penalties for …

Stochastic learning models provide sharp predictions about equilibrium selection when the noise level of the learning … process is taken to zero.  The difficulty is that, when the noise is extremely small, it can take an extremely long time for a … locally in small close-knit groups; in this case convergence can be rapid for small noise and an arbitrarily large population …

repeated game, in the rational learning model introduced there, must eventually resemble play of exact equilibria, and not just …

results in finite games. It is shown that they do for a class of finite games with weak learning provided that limits are …