Redesigning of Reward Function by Inverse Reinforcement Learning using Path Score

Abstract

This paper propose a method of redesigning the reward function by setting a score for the path and changing the weights of the features. That make up the path score from the inverse reinforcement learning. It is explained in the redesign to improve the problem of avoidance accuracy of the robot.