As a final project for the course Fundamentals of Machine Learning (winter semester 18/19), teams of students were asked to train a reinforcement learning agent to play a version of the classical game Bomberman. In the end, 45 working agents were submitted. We held an elimination tournament between all of them, the results of which are presented on this website.
The game framework can be found here and the task description here.