![]() Part of the research group is Demis Hassabis, a candidate master from England and co-founder of DeepMind (bought by Google in 2014). They chose not to comment to, pointing out the paper "is currently under review" but you can read the full paper here. The program had four hours to play itself many, many times, thereby becoming its own teacher.įor now, the programming team is keeping quiet. ![]() That's all in less time that it takes to watch the "Lord of the Rings" trilogy. This would be akin to a robot being given access to thousands of metal bits and parts, but no knowledge of a combustion engine, then it experiments numerous times with every combination possible until it builds a Ferrari. Google headquarters in London from inside, with the DeepMind section on the eighth floor. That means no opening book, no endgame tables, and apparently no complicated algorithms dissecting minute differences between center pawns and side pawns. ![]() Put more plainly, AlphaZero was not "taught" the game in the traditional sense. That's right - the programmers of AlphaZero, housed within the DeepMind division of Google, had it use a type of "machine learning," specifically reinforcement learning. Oh, and it took AlphaZero only four hours to "learn" chess. AlphaZero won the closed-door, 100-game match with 28 wins, 72 draws, and zero losses. Stockfish, which for most top players is their go-to preparation tool, and which won the 2016 TCEC Championship and the 2017 Computer Chess Championship, didn't stand a chance. And maybe the rest of the world did, too.Ī little more than a year after AlphaGo sensationally won against the top Go player, the artificial-intelligence program AlphaZero has obliterated the highest-rated chess engine.
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