This repository curates resources on game AI with a focus on multi-agent learning. It documents concepts like single-agent versus multi-agent game environments and highlights key achievements in the field, including AlphaGo and deep Q-learning applications to Atari games. The list serves as a reference for researchers and developers working on reinforcement learning in competitive gaming scenarios.