Task Space Retrieval Using Inverse Feedback Control

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Active learning of inverse models with intrinsically motivated goal exploration in robots (2013, positive): “Inverse reinforcement learning mechanisms, which are able to extract reward functions thanks to examples of action policies could also be seen as a mean to infer interesting task spaces from human demonstrations [125].”
Learning to place new objects in a scene (2012, methodology): “1Parts of this work were described in Jiang et al. (2011b, 2012b).”