This was an assignment in our Artificial Intelligence course. The goal was to use hidden markov models to classify different species of birds and predict their next movements in a simulated version of the game Duck Hunt.
Solutions were tested in several rounds in different environments. Each round is 100 time slices long and during each slice you could choose to fire at a bird by predicting its next move. If you missed you lost a point, and if you hit you gained a point. However, if you shoot the Black Stork you lose all points in that environment.
After each round you can guess the species of each bird. Guessing correct gains you a point and incorrect loses a point. After guessing you receive the correct answer allowing you to learn each species behavior. Guessing the species is where most points you earn come from.
In this assignment we implemented Hidden Markov Models including the forward, backwards, and viterbi-algorithms, and correctly applied them to the problem. My highscore is 399. Since this problem is still used in education I have not released my solution.