课程: AI Algorithms for Game Design with Python

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课程: AI Algorithms for Game Design with Python

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- [Instructor] Well, that's it for the course. We've gone through a lot of material and there's so much you can still do to keep on learning. Here are some ideas for your next steps. Have fun with the code. You may try evaluation functions to see if you can get the cat to play better. You can also give the Monte Carlo evaluation function at try. Now, I understand that tweaking someone else's code can be difficult and tiresome, so you may want to implement a game of your own choosing. There are several frameworks you can use to create an intelligent agent that plays chess or Go, which are among the most competitive games, where your new AI skills can be useful. And you know what? There's much more to AI than game playing. One of the hottest topics today is machine learning, where you can get a computer to learn from data and then solve problems with the knowledge it has acquired. While technically an application of machine learning, artificial neural networks are also fun and…

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