Sparse Graphical Memory for Robust Planning

13 Mar 2020Michael LaskinScott EmmonsAjay JainThanard KurutachPieter AbbeelDeepak Pathak

To operate effectively in the real world, artificial agents must act from raw sensory input such as images and achieve diverse goals across long time-horizons. On the one hand, recent strides in deep reinforcement and imitation learning have demonstrated impressive ability to learn goal-conditioned policies from high-dimensional image input, though only for short-horizon tasks... (read more)

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