Learning to push by grasping: Using multiple tasks for effective learning
Learning to push by grasping: Using multiple tasks for effective learning
Recently, end-to-end learning frameworks are gaining prevalence in the field of robot control. These frameworks input states/images and directly predict the torques or the action parameters. However, these approaches are often critiqued due to their huge data requirements for learning a task. The argument of the difficulty in scalability to …