The rest it works out by playing itself over and over with self-reinforced knowledge. Photograph: Stan Honda/AFP/Getty ImagesĭeepMind said the difference between AlphaZero and its competitors is that its machine-learning approach is given no human input apart from the basic rules of chess. Ĭhess enthusiasts watch World Chess champion Garry Kasparov on a television monitor in 1997. “We have always assumed that chess required too much empirical knowledge for a machine to play so well from scratch, with no human knowledge added at all.”Ĭomputer programs have been able to beat the best human chess players ever since IBM’s Deep Blue supercomputer defeated Kasparov on. “It’s a remarkable achievement, even if we should have expected it after AlphaGo,” former world chess champion Garry Kasparov told. “Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi as well as Go, and convincingly defeated a world-champion program in each case,” said the paper’s authors that include DeepMind founder Demis Hassabis, who was a child chess prodigy reaching master standard at the age of 13. AlphaZero won or drew all 100 games, according to a non-peer-reviewed research paper published with Cornell University Library’s arXiv.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |