This paper experimentally investigates the nature of impulses in impulse learning. Particularly, we analyze whether …

This paper experimentally investigates the nature of impulses in impulse learning. Particularly, we analyze whether …

dynamics considerably differ between gain and loss domains. For gains, learning to be comparably ambiguity averse increases the …

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 …

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 …

In this paper, we introduce two new learning models: action-sampling learning and impulse-matching learning. These two … models, together with the models of self-tuning EWA and reinforcement learning, are applied to 12 different 2×2 games and … are two-fold: while the simulations with impulse-matching and action-sampling learning successfully replicate the …

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 …