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Artificial Intelligence for Games and Simulations
In this course we use Python 3.11. Running pip install aigs
in a clean Python 3.11 virtual environment should install all dependencies.
We are assuming that you have a basic understanding of Python and programming.
/labs (under active development)
labs/ contains exercises for the course, which you should do.
Being able to do the contents of labs/ is a prerequisite
for being able making a successful final project.
I recommend cloning this repository, and making a folder my/
where you can put your own code (I will be updating this repository).
- Lab 1: Math
- Lab 2: Neural networks
- Lab 3: Evolutionary computation
- Lab 4: Deep learning
- Lab 5: Reinforcement learning
- Lab 6: Monte Carlo tree search
/todo (under active development)
There are three mandatory projects in this course.
They are all under /todo and are not yet completed.
Won't make much sense to look at them until they are completed,
as major parts will be changed and added.
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