Extendable Navigation Network based Reinforcement Learning for Indoor Robot Exploration

Woo-Cheol Lee,Ming Chong Lim,Han-Lim Choi,Woo-Cheol Lee,Ming Chong Lim,Han-Lim Choi

This paper presents a navigation network based deep reinforcement learning framework for autonomous indoor robot exploration. The presented method features a pattern cognitive non-myopic exploration strategy that can better reflect universal preferences for structure. We propose the Extendable Navigation Network (ENN) to encode the partially observed high-dimensional indoor Euclidean space to a sp...