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These days stand on a digital era, where science and technology are two key concepts for understanding the fundamentals of devices people cope daily. In order to increase the population size of at least, technology-friendly users, fostering the algorithmic thinking process on children is a crucial step and has taken more relevance every year. This document presents the experience of a group of students...
The present work extends a two-level decision-making mechanism, modeling the cortico-basal ganglia (CBG) loop. It incorporates an exploration-exploitation control based on D1-type tonic dopamine (DA) effects in the corticostriatal synapses. The resulting model not only supports the previous findings reinforcing the feasibility of controlling the use of past information against exploring new options...
Speed of convergence in reinforcement learning methods represents an important problem, especially when the agent is interacting on adversarial environments like RoboCup Soccer domains. If the agent's learning rate is too small, then the algorithm needs too many iterations in order to successfully learn the task, and this would probably lead to lose the game before the agent has learnt its optimal...
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