A list of exercises for the Game AI course.
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- K-Medoids clustering
- Spectral clustering
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- Self Organizing Map
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- Markov Chain
- Evolution of a Markov process
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- Estimation of Markov Chain
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- Likelihood of future events
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- SOMs of peculiar topology
- SOM batch training
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- Inference with Markov models
- Sampling a Markov model
- Learning a Markov model
- Stationary distribution a Markov model
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- Fitting a self organizing map to in-game data
- Action primitives from in-game data