Greedy Best-First Search

Greedy Best-First Search is a pathfinding method that aims to find the shortest route from a start point to a goal by prioritizing options that seem closest or most promising based on a specific estimate. It uses a heuristic function to evaluate how close each state or position is to the goal, selecting the next move that appears most promising. While this approach often finds a solution quickly, it doesn't guarantee the shortest or optimal path, as it focuses on immediate estimates rather than exploring all options thoroughly.