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In chess, AlphaZero outperformed Stockfish after just 4 hours (300k steps); in shogi, AlphaZero outperformed Elmo after less than 2 hours (110k steps); and in Go, AlphaZero outperformed AlphaGo Lee (29) after 8 hours (165k steps).<\/p>\n
The game of chess represented the pinnacle of AI research over several decades. State-ofthe-art
\nprograms are based on powerful engines that search many millions of positions, leveraging handcrafted domain expertise and sophisticated domain adaptations. AlphaZero is a generic
\nreinforcement learning algorithm \u2013 originally devised for the game of Go \u2013 that achieved superior results within a few hours, searching a thousand times fewer positions, given no domain<\/p>\n","protected":false},"excerpt":{"rendered":"
The AlphaZero program developed by Google and DeepMind took four hours of playing against itself to create chess knowledge beyond any human or other computer program. It could beat any person and beat the best World Computer Champion Stockfish 28 wins to 0 in a 100-game match. Starting from random play, and given no domain … <\/p>\n
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