Explaining the Decisions of Deep Policy Networks for Robotic Manipulations
Seongun Kim,Jaesik Choi,Seongun Kim,Jaesik Choi
Deep policy networks enable robots to learn behaviors to solve various real-world complex tasks in an end-to-end fashion. However, they lack transparency to provide the reasons of actions. Thus, such a black-box model often results in low reliability and disruptive actions during the deployment of the robot in practice. To enhance its transparency, it is important to explain robot behaviors by con...
