• Continuous reinforcement learning with incremental Gaussian mixture models 

      Pinto, Rafael Coimbra (2017) [Tese]
      This thesis’ original contribution is a novel algorithm which integrates a data-efficient function approximator with reinforcement learning in continuous state spaces. The complete research includes the development of a ...
    • Online incremental one-shot learning of temporal sequences 

      Pinto, Rafael Coimbra (2011) [Dissertação]
      Este trabalho introduz novos algoritmos de redes neurais para o processamento online de padrões espaço-temporais, estendendo o algoritmo Incremental Gaussian Mixture Network (IGMN). O algoritmo IGMN é uma rede neural online ...