Mobile Robots Exploration via Deep Reinforcement Learning

Han MA, Peng Xu

Abstract: n this paper, we try to solve the mobile robot exploration problem in a 2D indoor office environment by deep reinforcement learning. Finally, we find that PPO with Convolutional Neural Network (CNN) and Dense layers converge well in our problem. The video link of our current work is here.