The <a target="_blank" href="https://www.almabetter.com/bytes/tutorials/artificial-intelligence/a-star-algorithm-in-ai">A* algorithm in AI</a> is a popular pathfinding and graph traversal technique in AI. It aims to find the shortest path from a start node to a goal node by combining the strengths of Dijkstra's algorithm and Greedy Best-First-Search. A* uses a heuristic function `f(n) = g(n) + h(n)`, where `g(n)` represents the actual cost from the start node to node `n`, and `h(n)` estimates the cost from `n` to the goal. This heuristic guides the search towards the goal efficiently. A* is widely used in applications like robotics, games, and navigation systems due to its optimality and completeness.

The [A\* algorithm in AI](https://www.almabetter.com/bytes/tutorials/artificial-intelligence/a-star-algorithm-in-ai) is a popular pathfinding and graph traversal technique in AI. It aims to find the shortest path from a start node to a goal node by combining the strengths of Dijkstra's algorithm and Greedy Best-First-Search. A\* uses a heuristic function **\`f(n) = g(n) + h(n)\`**, where \`g(n)\` represents the actual cost from the start node to node **\`n\`**, and **\`h(n)\`** estimates the cost from \`n\` to the goal. This heuristic guides the search towards the goal efficiently. A\* is widely used in applications like robotics, games, and navigation systems due to its optimality and completeness.

A* Algorithm in AI