aigs 0.0.1

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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/ 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).

Labs

1. Math
2. Neural Networks ...
3. ...

Core concept scripts

• la.py contains code for linear algebra exercises.
• o.py contains code for optimization exercises.
• nn.py contains code for neural network exercises.
• rl.py contains code for reinforcement learning exercises.
• mcts.py contains code for Monte Carlo Tree Search exercises.

Advanced concept scripts

• ne.py contains code for natural evolution exercises.
• ea.py contains code for evolutionary algorithms exercises.
• ma.py contains code for multi-agent exercises.
• vae.py contains code for variational autoencoder exercises.
• pcg.py contains code for procedural content generation exercises.