The Utility of Sparse Representations for Control in Reinforcement Learning

15 Nov 2018Vincent LiuRaksha KumaraswamyLei LeMartha White

We investigate sparse representations for control in reinforcement learning. While these representations are widely used in computer vision, their prevalence in reinforcement learning is limited to sparse coding where extracting representations for new data can be computationally intensive... (read more)

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