Constraining the Size Growth of the Task Space with Socially Guided Intrinsic Motivation using Demonstrations

Details Constraining the Size Growth of the Task Space with Socially Guided Intrinsic Motivation using Demonstrations Constraining the Size Growth of the Task Space with Socially Guided Intrinsic Motivation using Demonstrations

2011-11-29

arxiv.org/abs/1111.6790v1

Computer Science

Artificial Intelligence

JCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT), Barcelona : Spain (2011)

Scientific paper

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 range of skills, while lessening its dependence on the teacher. SGIM-D is evaluated on a fishing skill learning experiment.

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