Abstract
In this paper, New Reinforcement Learning based Path-Planning task is proposed for mobile robot system. The proposed algorithms are based upon the k-certainty exploration method and the k-certainty exploration method with PIA to be used for continuous environment. Experimental results show that the k-certainty exploration method and the k-certainty exploration method with PIA for continuous environment are more effective than the conventional Q-learning.
