4D A*

Four-dimensional A-star

Reinforcement LearningIntroduced 20001 papers

Description

The aim of 4D A* is to find the shortest path between two four-dimensional (4D) nodes of a 4D search space - a starting node and a target node - as long as there is a path. It achieves both optimality and completeness. The former is because the path is shortest possible, and the latter because if the solution exists the algorithm is guaranteed to find it.

Papers Using This Method