Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees

Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song

Abstract: We propose a meta path planning algorithm which exploits a novel attention-based neural module that can learn generalizable structures from prior experiences to drastically reduce the sample requirement for solving new path planning problems.