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DeepMind AI MuZero can learn AND master Chess, Go, Atari Chris Burns - Dec 23, 2020, 2:22pm CST 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! What is MuZero? 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 in...

BBC News By Leo Kelion image captionMuZero was tested against Atari video games, chess and other classic board games DeepMind's latest AI program can attain "superhuman performance" in tasks without needing to be given the rules. Like the research hub's earlier artificial intelligence agents, MuZero achieved mastery in dozens of old Atari video games, chess, and the Asian board games of Go and Shogi. But unlike its predecessors, it had to work out their rules for itself. It is already being put to practical use to find a new way to encode videos, which could slash YouTube's costs. "The real w...

No rules, no problem: DeepMind’s MuZero masters games while learning how to play them 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 Ches...

by Facebook AI Research (FAIR) published a paper on Recursive Belief-based Learning (ReBeL), their new AI for playing imperfect-information games that can defeat top human players in poker. The algorithm combines reinforcement learning (RL) with state-space search and converges to a Nash equilibrium for any two player zero sum game. Code for training the algorithm to play Liar's Dice has been open-sourced. FAIR researchers Noam Brown and Anton Bakhtin gave an overview of the system in a blog post. ReBeL is a general-purpose algorithm for use in any two player zero sum game, even those with ...

To embed, copy and paste the code into your website or blog: In March 2016, Lee Sedol, the Korean Go 18-time world champion, played and lost a five-game match against DeepMind’s AlphaGo, a Go-playing program that used deep learning networks to evaluate board positions and possible moves. Go is to Chess in difficulty as chess is to checkers. If chess is a battle, Go is a war. A 19×19 Go board is much larger than an 8×8 chessboard, which makes it possible to have several battles raging in different parts of the board. There are long-range interactions between battles that are difficult to j...