Theoretical Foundations of Artificial General Intelligence

Volume 4 of the series Atlantis Thinking Machines pp 89-102


Deep Reinforcement Learning as Foundation for Artificial General Intelligence

  • Itamar ArelAffiliated withMachine Intelligence Lab, Department of Electrical Engineering and Computer Science, University of Tennessee Email author 

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Deep machine learning and reinforcement learning are two complementing fields within the study of intelligent systems. When combined, it is argued that they offer a promising path for achieving artificial general intelligence (AGI). This chapter outlines the concepts facilitating such merger of technologies and motivates a framework for building scalable intelligent machines. The prospect of utilizing custom neuromorphic devices to realize large-scale deep learning architectures is discussed, paving the way for achieving human level AGI.