Towards Deep Symbolic Reinforcement Learning

18 Sep 2016Marta GarneloKai ArulkumaranMurray Shanahan

Deep reinforcement learning (DRL) brings the power of deep neural networks to bear on the generic task of trial-and-error learning, and its effectiveness has been convincingly demonstrated on tasks such as Atari video games and the game of Go. However, contemporary DRL systems inherit a number of shortcomings from the current generation of deep learning techniques... (read more)

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