强化学习是这种情况下的常用技术，而更多的传统情形下需要使用效用函数。

Reinforcement learning is a common technique for this scenario as well as the more traditional scenario of actually learning the utility function.

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将强化学习技术运用于游戏的集中方法在文献里都有记载。

Several approaches applying reinforcement learning techniques to game playing have been described in the literature.

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多代理体技术实现了教学的个性化，强化学习算法使得教学策略具有智能化。

Multi-Agent technology achieves the personalized in ITS, and reinforcement learning algorithm makes teaching strategies with the intelligent.

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