In this note we study a very simple trial & error learning process in the context of a Cournot oligopoly. Without any …

While many learning models have been proposed in the game theoretic literature to track individuals’ behavior … learning models in light of a laboratory experiment on responsiveness in a lowinformation dynamic game subject to changes in … its underlying structure. While history-dependent reinforcement learning models track convergence of play well in repeated …

purification with recent results from the rational learning literature. …

Reinforcement learning has proved quite successful in predicting subjects' adjustment behaviour in repeatedly played … simple games. However, reinforcement learning does not predict convergence to the efficient cell in the minimal information … learning rule, a modification of win-stay lose-change, does predict convergence. We perform an experiment using modern economic …

, (ii) the resulting efficiency loss, and (iii) the adjustment of the learning rule. …

number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious … play, imitation, reinforcement learning, and a trial & error process. We test whether subjects try to influence those … and that all learning algorithms are subject to exploitation with the notable exception of imitation. The experiment was …