Today the machine learning algorithm MuZero was detailed in a feature research paper in Nature. MuZero expands on the abilities of systems like AlphaGo, AlphaGo
Today the machine learning algorithm MuZero was detailed in a feature research paper in Nature. MuZero expands on the abilities of systems like AlphaGo, AlphaGo Zero, and AlphaZero. Each new algorithm allowed a smart machine to become better at mastering games, starting with Go, then Chess and Shogi, now Atari! MuZero is a machine learning algorithm. An algorithm is a set of rules that a computer follows when it needs to learn new information and/or act on new information. When MuZero is employed on a machine learning-capable computer, it’s able to learn games and master games like Go, and Chess. The process of creating an algorithm like MuZero is important because it leads to machine learning and artificial intelligence able to handle real world problems more advanced than any computer of the past has been able to crack. The algorithm AlphaGo was made public in 2016, appearing to be the first program to master the game GO*. *AlphaGo mastered Go using neural networks and tree search.
