learning control in robotics
Author(s): Stefan Schaal, Christopher G. Atkeson
Venue: IEEE Robotics & Automation Magazine
Year Published: 2010
Keywords: survey, reinforcement learning, policy gradients, optimal control, trajectory optimization
Expert Opinion: This review from Schaal and Atkeson does an excellent job of concisely covering the many approaches to learning control in robotics. It is useful not only as an overview of this subtype of robot learning, but also as a jumping off point for further research, as the works cited are extensive. This paper is also of note because it considers the problem of robot learning from a control perspective, rather than the more common computer science or statistical perspectives. The authors also discuss the practical aspects of learning control, such as the robustness of learned control policies to unexpected perturbation.