The LearningMaze is an exit game in which the player has to choose the best sequence of moves towards the exit given a reduced map each step. I made this game to be played by humans or policy based by an agent as to compare their performances along with a random policy baseline. The agent acts on a Q-Learning policy (Reinforcement Learning). Both game and policies were made from scratch and delpoyed on the LearningMaze web app.