How can I optimize heuristic functions for my AI model?
Optimizing heuristic functions involves refining the criteria that guide your AI's decision-making. What specific model are you working with?
I'm working on a pathfinding algorithm for a game.
For pathfinding, consider using A* algorithm with a well-defined heuristic like Euclidean distance. Have you implemented A* yet?
Not yet, I'm still researching the best heuristics.
That's a good approach! You might also explore heuristics like Manhattan distance or Dijkstra's algorithm for comparison. Would you like more details on these?
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