DeepMind MuZero : AI Masters without Knowledge of Rules

DeepMind MuZero AI plays and masters games without knowing the rules. The holy grail of AI always been enabling computers to learn the way humans do.

However, today’s most powerful AIs still rely on having specific known rules, such as rules for a game of chess or Go. However, at times, human learning is messy in inferential, but learning starts and keeps on going like the rules of life as we go.

DeepMind MuZero has awaiting for a long time to create AIs using, which can use games as test suite and environment. Google’s sister company which is focusing on AI research, has revealed the latest achievement in MuZero. It is an AI to play and master a game without learning and knowing the rules before trying it.

DeepMind MuZero earlier AIs such as AlphaGo have been widely covered in media for beating human champions in the respective games. They were shy of the ultimate goal, although they may have been impressive. Its successors, AlphaGo Zero and AlphaZero, could bank on having the rule book to learn from. AlphaGo had the advantage of knowing not only the rules of Go, in particular, but also domain knowledge and data from human players.

While the Artificial Intelligence excelled in games with complex strategies but with simple visuals. They generally failed when applied to games with more visually complex strategies where the rules are little to assess. That’s where the new MuZero AI comes in, and it uses a selection of Atari games, such as Ms Pac-Man, to test out the theory.

Most AI researchers use two strategies to tackle the learning problem: the lookahead search that relies on being given the rules or knowledge of a game. Model-based planning does learn by creating an accurate model of an environment but at the expense of being overly complex.

MuZero’s advantage is that it models only the parts of the environment that are important, like knowing that an umbrella will help keep you dry under the rain rather than model all raindrops’ movement.

DeepMind MuZero was surely impressed by the speed and efficiency which MuZero can master games. It can be done, even when given only a limited number of steps to plan. It is hoped that the new method of AI learning will definitely be a path breaker and will be applied to messy real-world environments where the rules aren’t laid down in a well-defined manner.