Abstraction Levels for Robotic Imitation: Overview and Computational Approaches

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Active learning of inverse models with intrinsically motivated goal exploration in robots (2013, neutral): “…many goals/tasks in a parameterized task space) before focusing on different ways to perform the same tasks (here this means finding several alternative actions to achieve the same goal), knowledge-based exploration techniques like RIAC cannot be efficient in robots with redundant forward models.”
From Motor Learning to Interaction Learning in Robots (2010, background): “This part starts with a chapter by [27] which provides an overview of imitation learning methods in robots.”
Self-organization of early vocal development in infants and machines: the role of intrinsic motivation (2014, background): “…without an appreciation of their purpose, from emulation, where the observer witnesses someone producing an outcome, but then employs its own policy repertoire to reproduce the outcome, as formalized in Whiten (2000); Call and Carpenter (2002); Nehaniv and Dautenhahn (2007); Lopes et al. (2010).”