In this paper we introduce four new learning models: impulse balance learning, impulse matching learning, action …-sampling learning, and payoff-sampling learning. With this models and together with the models of self- tuning EWA learning and … reinforcement learning, we conduct simulations over 12 different 2×2 games and compare the results with experimental data obtained …

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

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

We report experiments designed to test between Nash equilibria that are stable and unstable under learning. The 'TASP … equilibrium under fictitious play like learning processes. We use two 4 x 4 games each with a unique mixed Nash equilibrium; one … is stable and one is unstable under learning. Both games are versions of Rock-Paper-Scissors with the addition of a …

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