Paulo M. Engel

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This paper describes a model for an autonomous robotic agent that is capable of mapping its environment, creating a state representation and learning how to execute simple tasks using this representation. The multi-level architecture developed is composed of the execution level, responsible for interaction with the environment, the clustering level, which(More)
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