Towards Motor Skill Learning for Robotics

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Reinforcement learning in robotics: A survey (2013, background): “However, this form of a state dimensionality reduction severely limits the dynamic capabilities of the robot according to our experience (Schaal et al., 2002; Peters et al., 2010b).”
Movement templates for learning of hitting and batting (2010, methodology): “Previous work needed to make simplistic assumptions such as having a static goal [8], a learned complex goal function [9] or a stationary goal that could only be lightly touched at the movement’s end [1].”
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives (2010, background): “speed of convergence, which is important for online applications of reinforcement learning and is an active topic of research [17], [18].”
Learning to pour with a robot arm combining goal and shape learning for dynamic movement primitives (2011, background): “DMP goal learning was not much considered in robot experiments before [6] [7] and the simultaneous combination of the two learning regimes is novel.”