2017
A robust stability approach to robot reinforcement learning based on a parameterization of stabilizing controllers
ICRA 2017poster
Reinforcement learning has become more and more popular in robotics for acquiring feedback controllers. Many approaches aim for learning a controller from scratch, i.e., data-driven without any modeling of the physical plant. However, stability properties of the closed loop are often not considered,…