DeepMind Unveils MuZero, a New Agent that Mastered Chess, Shogi, Atari and Go Without Knowing the Rules Plow

Games have become one of most efficient vehicles for evaluating artificial intelligence(AI) algorithms. For decades, games have built complex competition, collaboration, planning and strategic dynamics that are a reflection of the most sophisticated tasks that AI agents face in the real world. From Chess, to Go to StarCraft, games have become a great lab to evaluate the capabilities of AI agents in a safe and responsible manner. However, most of those great milestones started with agents that were trained on the rules of the game. There is a complementary subset of scenarios in which agents are presented with a new environment without prior knowledge of its dynamics.