Attentional Mechanisms as a Strategy for Generalization in the Q-Learning Algorithm
نویسنده
چکیده
In the last few years, reinforcement learning algorithms have been proposed as a more natural way of modelling animal learning. Unlike supervised learning methods, reinforcement learning addresses the basic problem faced by an animal when trying to control a discrete stochastic dynamic system: discover by trial and error a policy of actions that maximises some criterium of optimality, usually expected reinforcement.
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