2019
Learning Robust Manipulation Skills with Guided Policy Search via Generative Motor Reflexes
ICRA 2019poster
Guided Policy Search enables robots to learn control policies for complex manipulation tasks efficiently. Therein, the control policies are represented as high-dimensional neural networks which derive robot actions based on states. However, due to the small number of real-world trajectory samples in…