DeepMind has made it a mission to show that not only can an AI truly become proficient at a game, it can do so without even being told the rules. Its newest AI agent, called MuZero, accomplishes this not just with visually simple games with complex strategies, like Go, Chess and Shogi, but with visually complex Atari games. The success of DeepMind's earlier AIs was at least partly due to a very efficient navigation of the immense decision trees that represent the possible actions in a game. In Go or Chess these trees are governed by very specific rules, like where pieces can move, what happens when this piece does that, and so on. The AI that beat world champions at Go, AlphaGo, knew these rules and kept them in mind (or perhaps in RAM) while studying games between and against human players, forming a set of best practices and strategies.