Constraining the Size Growth of the Task Space with Socially Guided Intrinsic Motivation using Demonstrations
This paper presents an algorithm for learning a highly redundant inverse model in continuous and non-preset environments. Our Socially Guided Intrinsic Motivation by Demonstrations (SGIM-D) algorithm combines the advantages of both social learning and intrinsic motivation, to specialise in a wide ra...
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