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Intrinsically Motivated Learning of Real-World Sensorimotor Skills with Developmental Constraints
[chapter]
2012
Intrinsically Motivated Learning in Natural and Artificial Systems
Open-ended exploration and learning in the real world is a major challenge of developmental robotics. Three properties of real-world sensorimotor spaces provide important conceptual and technical challenges: unlearnability, high-dimensionality and unboundedness. In this chapter, we argue that exploration in such spaces needs to be constrained and guided by several combined developmental mechanisms. While intrinsic motivation, i.e. curiosity-driven learning, is a key mechanism to address this
doi:10.1007/978-3-642-32375-1_13
fatcat:vpif7oyjx5hwha6plxbkugn4h4