For a reinforcement learning class at Tufts I built an agent capable of solving the Google Chrome Easter egg. By taking advantage of a method called Q-learning, the dinosaur receives a negative penalty whenever it hits an obstacle and through enough iterations then learns how to avoid them to prevent itself from incurring more penalties.