Generates HMMs for the Advanced AI course.
This is an object tracking problem where some target travels forward in a grid. Observations are also positions, but are noisy and can be adjacent cells.
The domain doesn't really matter. All state and observation
probabilities are specified in the GridHMM object, through the
initial_p, transition_p and observation_p methods. You should
design your inference mechanism to be generalizable to any transition
matrix, so the domain actually doesn't really matter at all.
Also, read the code.