Decision trees play a vital role in AI decision-making in games. Scikit-learn, XGBoost, and LightGBM offer libraries for implementing decision trees, with features like scalability, high performance, and speed. Unity and other game engines provide support for integrating decision trees into game AI systems. Resources like tutorials, research papers, and applications demonstrate how to use decision trees for pathfinding, player modeling, and enhancing AI in games.
