This research aims to develop a method to learn a walking policy for multi-legged robots in various rough terrain. For this purpose, this paper investigates the generalization property of a learned walking policy in rough terrain. Using this result, we expect to provide a method to reduce the number of walking policies with which the robot can walk through any variations of terrain.
