We develop a hybrid control approach for robot learning based on combining learned predictive models with experience-based state-action policy mappings to improve the capabilities of robotic systems. Predictive provide an understanding task and physics (which improves sample-efficiency), while are treated as “muscle memory” that encode favorable actions experiences override planned actions. Hyb...