Before revision:  Reward learning methods enable the robot to adapt its reward function online based on such human input . However, this online adaptation requires low sample complexity algorithms which rely on simple functions of handcrafted features.
After revision:  Reward learning methods enable the robot to adapt its reward function online based on such human input , but they rely on handcrafted features.