estimation tae that's able to learn to master all their skills in this case that the robots learning to get up the reward is based on how close the head is to standing head height the closer the head of standing head height the higher the reward and then this was generalized to a much wider range of skills so what you see here is reinforced winning edge that has massive very wide range of locomotion skills and then here we see it in action on a real robot this is Bret the Berkeley robots for the elimination of the tedious tasks because