rl-paper-io

Deep RL agent trained to play a simplified version of Paper.io in a grid environment using Deep Q-Learning. The goal is to answer the question of whether an agent can learn meaningful strategies to capture territory in a multi-agent setting with high penalties for failure and a non-trivial system fo