Showing cs.LGShow all
2 papers · 1 filter
cs.LG2019
Experience Reuse with Probabilistic Movement Primitives
Svenja Stark, Jan Peters, Elmar Rueckert
Acquiring new robot motor skills is cumbersome, as learning a skill from scratch and without prior knowledge requires the exploration of a large space of motor configurations. Acco…
cs.LG2019
Learning walk and trot from the same objective using different types of exploration
Zinan Liu, Kai Ploeger, Svenja Stark +2
In quadruped gait learning, policy search methods that scale high dimensional continuous action spaces are commonly used. In most approaches, it is necessary to introduce prior kno…