"AlphaZero"@fr . . . "AlphaZero is a computer program developed by artificial intelligence research company DeepMind to master the games of chess, shogi and go. This algorithm uses an approach similar to AlphaGo Zero. On December 5, 2017, the DeepMind team released a preprint introducing AlphaZero, which within 24 hours of training achieved a superhuman level of play in these three games by defeating world-champion programs Stockfish, elmo, and the three-day version of AlphaGo Zero. In each case it made use of custom tensor processing units (TPUs) that the Google programs were optimized to use. AlphaZero was trained solely via self-play using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame t"@en . . . . "\uC54C\uD30C\uC81C\uB85C"@ko . . . "AlphaZero ist ein autodidaktisches Computerprogramm von DeepMind, dessen Algorithmus mehrere komplexe Brettspiele einzig anhand der Spielregeln und Siegbedingungen sowie durch intensives Spielen gegen sich selbst erlernt. Das Programm verwendet einen verallgemeinerten Ansatz von AlphaGo Zero und beherrscht nach entsprechendem Training nicht nur Go, sondern auch die Strategiespiele Schach und Sh\u014Dgi."@de . . . . "AlphaZero \u00E8 un algoritmo di intelligenza artificiale basato su tecniche di apprendimento automatico sviluppato da Google DeepMind. \u00C8 una generalizzazione di AlphaGo Zero, predecessore sviluppato specificamente per il gioco del go e a sua volta evoluzione di AlphaGo, primo software capace di raggiungere prestazioni sovrumane nel gioco del go. Analogamente ad AlphaGo Zero, impiega la ricerca ad albero Monte Carlo (MCTS) guidata da una rete neurale convoluzionale profonda addestrata per rinforzo."@it . "AlphaZero"@en . . "AlphaZero est une version g\u00E9n\u00E9raliste d\u2019AlphaGo Zero, un logiciel de go (jeu de strat\u00E9gie abstrait chinois) qui a \u00E9t\u00E9 adapt\u00E9 pour jouer aux \u00E9checs et au shogi (\u00E9checs japonais). AlphaZero a \u00E9t\u00E9 cr\u00E9\u00E9 par Demis Hassabis de DeepMind, une entreprise appartenant au groupe Google."@fr . . . "AlphaZero \u2014 \u043D\u0435\u0439\u0440\u043E\u043D\u043D\u0430\u044F \u0441\u0435\u0442\u044C, \u0440\u0430\u0437\u0440\u0430\u0431\u043E\u0442\u0430\u043D\u043D\u0430\u044F \u043A\u043E\u043C\u043F\u0430\u043D\u0438\u0435\u0439 DeepMind, \u043A\u043E\u0442\u043E\u0440\u0430\u044F \u0438\u0441\u043F\u043E\u043B\u044C\u0437\u0443\u0435\u0442 \u043E\u0431\u043E\u0431\u0449\u0451\u043D\u043D\u044B\u0439 \u043F\u043E\u0434\u0445\u043E\u0434 AlphaGo Zero. 5 \u0434\u0435\u043A\u0430\u0431\u0440\u044F 2017 \u0433\u043E\u0434\u0430 \u043A\u043E\u043B\u043B\u0435\u043A\u0442\u0438\u0432 DeepMind \u0432\u044B\u043F\u0443\u0441\u0442\u0438\u043B \u043F\u0440\u0435\u043F\u0440\u0438\u043D\u0442 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u044B AlphaZero, \u043A\u043E\u0442\u043E\u0440\u0430\u044F \u043F\u043E\u0441\u043B\u0435 \u0442\u0440\u0435\u043D\u0438\u0440\u043E\u0432\u043A\u0438 \u0432 \u0442\u0435\u0447\u0435\u043D\u0438\u0435 24 \u0447\u0430\u0441\u043E\u0432 \u0441\u043C\u043E\u0433\u043B\u0430 \u043F\u043E\u0431\u0435\u0434\u0438\u0442\u044C \u0447\u0435\u043C\u043F\u0438\u043E\u043D\u043E\u0432 \u043C\u0438\u0440\u0430 \u0441\u0440\u0435\u0434\u0438 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C \u043F\u043E \u0438\u0433\u0440\u0430\u043C \u0432 \u0448\u0430\u0445\u043C\u0430\u0442\u044B, \u0441\u0451\u0433\u0438 \u0438 \u0433\u043E (Stockfish, Elmo \u0438 \u0442\u0440\u0435\u0445\u0434\u043D\u0435\u0432\u043D\u044B\u0439 \u0432\u0430\u0440\u0438\u0430\u043D\u0442 AlphaGo Zero \u0441\u043E\u043E\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043D\u043D\u043E). \u0422\u0430\u043A\u0438\u043C \u043E\u0431\u0440\u0430\u0437\u043E\u043C, \u0432 \u043D\u0430\u0441\u0442\u043E\u044F\u0449\u0435\u0435 \u0432\u0440\u0435\u043C\u044F \u0438\u0441\u043A\u0443\u0441\u0441\u0442\u0432\u0435\u043D\u043D\u044B\u0439 \u0438\u043D\u0442\u0435\u043B\u043B\u0435\u043A\u0442 AlphaZero \u044F\u0432\u043B\u044F\u0435\u0442\u0441\u044F \u0441\u0438\u043B\u044C\u043D\u0435\u0439\u0448\u0435\u0439 \u0438\u0437 \u0432\u0441\u0435\u0445 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C \u0434\u043B\u044F \u0438\u0433\u0440 \u0432 \u0441\u0451\u0433\u0443 \u0438 \u0433\u043E. \u0412 \u0448\u0430\u0445\u043C\u0430\u0442\u044B \u0441\u0438\u043B\u0443 AlphaZero \u043D\u0435\u043B\u044C\u0437\u044F \u043E\u0446\u0435\u043D\u0438\u0442\u044C \u043D\u0430 \u0434\u0430\u043D\u043D\u044B\u0439 \u043C\u043E\u043C\u0435\u043D\u0442, \u043F\u043E \u043F\u0440\u0438\u0447\u0438\u043D\u0435 \u043D\u0435\u0445\u0432\u0430\u0442\u043A\u0438 \u043F\u0430\u0440\u0442\u0438\u0439, \u043E\u043D\u0438 \u043D\u0435 \u0438\u0433\u0440\u0430\u043B\u0438\u0441\u044C \u0441 2017 \u0433\u043E\u0434\u0430."@ru . . . . . . . . . "AlphaZero \u2014 \u0446\u0435 \u043A\u043E\u043C\u043F'\u044E\u0442\u0435\u0440\u043D\u0430 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u0430, \u0440\u043E\u0437\u0440\u043E\u0431\u043B\u0435\u043D\u0430 \u043A\u043E\u043C\u043F\u0430\u043D\u0456\u0454\u044E DeepMind, \u044F\u043A\u0430 \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u043E\u0432\u0443\u0454 \u0443\u0437\u0430\u0433\u0430\u043B\u044C\u043D\u0435\u043D\u0438\u0439 \u043F\u0456\u0434\u0445\u0456\u0434 . 5 \u0433\u0440\u0443\u0434\u043D\u044F 2017 \u0440\u043E\u043A\u0443 \u043A\u043E\u043B\u0435\u043A\u0442\u0438\u0432 DeepMind \u0432\u0438\u043F\u0443\u0441\u0442\u0438\u0432 \u043F\u0440\u0435\u043F\u0440\u0438\u043D\u0442\u043D\u0435 \u0432\u0432\u0435\u0434\u0435\u043D\u043D\u044F AlphaZero, \u044F\u043A\u0435 \u0432\u043F\u0440\u043E\u0434\u043E\u0432\u0436 24 \u0433\u043E\u0434\u0438\u043D \u0434\u043E\u0441\u044F\u0433\u043D\u0443\u043B\u043E \u043D\u0430\u0434\u043B\u044E\u0434\u0441\u044C\u043A\u043E\u0433\u043E \u0440\u0456\u0432\u043D\u044F \u0433\u0440\u0438 \u0432 \u0448\u0430\u0445\u0438, \u0421\u044C\u043E\u0491\u0456, \u0456 \u0491\u043E, \u043F\u0435\u0440\u0435\u043C\u0456\u0433\u0448\u0438 \u0447\u0435\u043C\u043F\u0456\u043E\u043D\u0456\u0432 \u0441\u0432\u0456\u0442\u0443 \u0441\u0435\u0440\u0435\u0434 \u043F\u0440\u043E\u0433\u0440\u0430\u043C, Stockfish, Elmo \u0456 3-\u0434\u0435\u043D\u043D\u0438\u0439 \u0432\u0430\u0440\u0456\u0430\u043D\u0442 AlphaGo Zero \u0432 \u043A\u043E\u0436\u043D\u043E\u043C\u0443 \u0432\u0438\u043F\u0430\u0434\u043A\u0443, \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u043E\u0432\u0443\u044E\u0447\u0438 \u043A\u0440\u0430\u0449\u0435 \u043A\u043E\u043C\u043F'\u044E\u0442\u0435\u0440\u043D\u0435 \u043E\u0431\u043B\u0430\u0434\u043D\u0430\u043D\u043D\u044F \u0432\u0456\u0434\u043D\u043E\u0441\u043D\u043E \u0441\u0432\u043E\u0457\u0445 \u043E\u043F\u043E\u043D\u0435\u043D\u0442\u0456\u0432. AlphaZero \u043F\u0435\u0440\u0435\u043C\u0456\u0433 Stockfish 8 (\u0440\u0443\u0448\u0456\u0439 \u0433\u0440\u0430\u0432 \u0431\u0435\u0437 \u0434\u043E\u0441\u0442\u0443\u043F\u0443 \u0434\u043E \u0442\u0430 \u0435\u043D\u0434\u0448\u043F\u0456\u043B\u044C\u043D\u0438\u0445 \u0442\u0430\u0431\u043B\u0438\u0446\u044C) \u0433\u0440\u0430\u044E\u0447\u0438 \u0437 \u043A\u0440\u0430\u0449\u0438\u043C \u043A\u043E\u043C\u043F'\u044E\u0442\u0435\u0440\u043D\u0438\u043C \u043E\u0431\u043B\u0430\u0434\u043D\u0430\u043D\u043D\u044F\u043C \u0432\u0438\u0434\u0456\u043B\u0435\u043D\u0438\u043C \u0434\u043B\u044F AlphaZero."@uk . "AlphaZero"@ja . . . . . . . . . . . . . . . . . . "AlphaZero\uFF08\u30A2\u30EB\u30D5\u30A1\u30BC\u30ED\uFF09\u306F\u3001DeepMind\u306B\u3088\u3063\u3066\u958B\u767A\u3055\u308C\u305F\u30B3\u30F3\u30D4\u30E5\u30FC\u30BF\u30D7\u30ED\u30B0\u30E9\u30E0\u3067\u3042\u308B\u3002\u6C4E\u5316\u3055\u308C\u305FAlphaGo Zero\u306E\u30A2\u30D7\u30ED\u30FC\u30C1\u3092\u4F7F\u7528\u3057\u3066\u3044\u308B\u3002 2017\u5E7412\u67085\u65E5\u3001DeepMind\u30C1\u30FC\u30E0\u306FAlphaGo Zero\u306E\u30A2\u30D7\u30ED\u30FC\u30C1\u3092\u6C4E\u5316\u3057\u305F\u30D7\u30ED\u30B0\u30E9\u30E0\u3067\u3042\u308BAlphaZero\u306E\u8AD6\u6587\u3092arXiv\u4E0A\u3067\u767A\u8868\u3057\u305F\u3002AlphaZero\u306F\u300124\u6642\u9593\u4EE5\u5185\u306B\u30C1\u30A7\u30B9\u3001\u5C06\u68CB\u3001\u56F2\u7881\u306E\u4E16\u754C\u30C1\u30E3\u30F3\u30D4\u30AA\u30F3\u30D7\u30ED\u30B0\u30E9\u30E0\u3067\u3042\u308BStockfish\u3001elmo\u30013\u65E5\u9593\u5B66\u7FD2\u3055\u305B\u305FAlphaGo Zero\u3092\u7834\u308B\u30EC\u30D9\u30EB\u306B\u9054\u3057\u305F\u3002\u5177\u4F53\u7684\u306B\u306F\u30012\u6642\u9593\u3067\u5C06\u68CB\u30014\u6642\u9593\u3067\u30C1\u30A7\u30B9\u306E\u6700\u9AD8\u5CF0\u306EAI\u306B\u52DD\u5229\u3057\u3001AlphaGo Zero\u30828\u6642\u9593\u3067\u4E0A\u56DE\u3063\u305F\u3002 AlphaZero\u306F\u3001\u30AA\u30FC\u30D7\u30CB\u30F3\u30B0\u30D6\u30C3\u30AF\uFF08\u5E8F\u76E4\u5B9A\u8DE1\u30C7\u30FC\u30BF\u30D9\u30FC\u30B9\uFF09\u3068\u30A8\u30F3\u30C9\u30B2\u30FC\u30E0\u306E\u8868\uFF08\u7D42\u76E4\u3092\u89E3\u6790\u3057\u305F\u30C7\u30FC\u30BF\u30D9\u30FC\u30B9\uFF09\u3092\u53C2\u7167\u305B\u305A\u306B\u30014\u6642\u9593\u306E\u81EA\u5DF1\u5BFE\u6226\u3060\u3051\u3067Stockfish\u3092\u51CC\u99D5\u3057\u305F\u3002 \u305D\u308C\u307E\u3067\u30C1\u30A7\u30B9\u304A\u3088\u3073\u5C06\u68CB\u306EAI\u3067\u4E00\u822C\u7684\u3067\u3042\u3063\u305F\u30A2\u30EB\u30D5\u30A1\u30FB\u30D9\u30FC\u30BF\u63A2\u7D22\u3067\u306F\u306A\u304F\u3001\u56F2\u7881AI\u3067\u6210\u529F\u3092\u53CE\u3081\u305F\u30E2\u30F3\u30C6\u30AB\u30EB\u30ED\u6728\u63A2\u7D22\uFF08\u30E2\u30F3\u30C6\u30AB\u30EB\u30ED\u6CD5\u306E\u5FDC\u7528\uFF09\u3068\u30C7\u30A3\u30FC\u30D7\u30E9\u30FC\u30CB\u30F3\u30B0\u3092\u3053\u308C\u3089\u306E\u30B2\u30FC\u30E0\u306B\u5BFE\u3057\u3066\u9069\u7528\u3057\u3066\u3082\u5F37\u3044AI\u304C\u4F5C\u308C\u308B\u3053\u3068\u3092\u5B9F\u8A3C\u3057\u305F\u3002"@ja . . . . . . . . . . . . . . . . "\uC54C\uD30C\uC81C\uB85C(AlphaZero)\uB294 \uC778\uAC04\uC774 \uC774\uB8E9\uD55C \uC9C0\uC2DD\uC758 \uB3C4\uC6C0 \uC5C6\uC774 \uB3C5\uD559\uC73C\uB85C \uBC14\uB451, \uCCB4\uC2A4, \uC1FC\uAE30(\uC77C\uBCF8 \uC7A5\uAE30) \uB4F1\uC744 \uB3C5\uD30C\uD55C \uAD6C\uAE00\uC758 \uC778\uACF5\uC9C0\uB2A5(AI)\uC774\uB2E4. \uAD6C\uAE00 \uB525\uB9C8\uC778\uB4DC\uC758 \uCD5C\uACE0\uACBD\uC601\uC790(CEO)\uC778 \uB370\uBBF8\uC2A4 \uD5C8\uC0AC\uBE44\uC2A4 \uB4F1\uC758 13\uBA85\uC758 \uC5F0\uAD6C\uC790\uB4E4\uC774 \uB17C\uBB38 <\uC790\uAC00\uD559\uC2B5\uC744 \uD1B5\uD574 \uCCB4\uC2A4, \uC1FC\uAE30, \uBC14\uB451\uC744 \uB9C8\uC2A4\uD130\uD560 \uC218 \uC788\uB294 \uBC94\uC6A9 \uAC15\uD654\uD559\uC2B5 \uC54C\uACE0\uB9AC\uC998>\uC744 \uACFC\uD559 \uD559\uC220\uC9C0 \u300A\uC0AC\uC774\uC5B8\uC2A4\u300B2018\uB144 12\uC6D4 7\uC77C\uC790\uC5D0 \uBC1C\uD45C\uD558\uBA74\uC11C \uC54C\uD30C \uC81C\uB85C\uC758 \uB4F1\uC7A5\uC744 \uC54C\uB838\uB2E4. \uC54C\uD30C \uC81C\uB85C\uB294 \uAE30\uBCF4(\uBC14\uB451\uC774\uB098 \uC7A5\uAE30\uB97C \uB454 \uB0B4\uC6A9\uC758 \uAE30\uB85D) \uD559\uC2B5 \uC5C6\uC774 \uC54C\uD30C\uACE0(AlphaGo)\uB97C \uC0C1\uB300\uB85C \uC804\uC2B9\uC744 \uAC70\uB454 (AlphaGo Zero)\uC758 \uBC94\uC6A9 \uBC84\uC804\uC73C\uB85C, \uBA85\uCE6D\uC5D0\uC11C \uBC14\uB451\uC744 \uB73B\uD558\uB294 \uACE0(GO)\uB97C \uBE7C \uBC94\uC6A9 \uC778\uACF5\uC9C0\uB2A5\uC784\uC744 \uD45C\uC2DC\uD588\uB2E4. \uAC8C\uC784 \uBC95\uCE59\uB9CC \uC54C\uBA74 \uBAA8\uB4E0 \uBCF4\uB4DC\uAC8C\uC784\uC744 \uC775\uD790 \uC218 \uC788\uC5B4 \uBC14\uB451\uC5D0 \uD2B9\uD654\uB41C \uC54C\uD30C\uACE0\uB97C \uC555\uB3C4\uD55C\uB2E4\uACE0 \uD3C9\uAC00\uB41C\uB2E4. \uC54C\uD30C\uC81C\uB85C\uB294 2016\uB144 \uCCB4\uC2A4 AI \uCC54\uD53C\uC5B8\uC778 \uC2A4\uD1A1\uD53C\uC2DC\uB97C 4\uC2DC\uAC04 \uB9CC\uC5D0, 2017\uB144 \uC1FC\uAE30 AI \uCC54\uD53C\uC5B8 \uC5D8\uBAA8\uB97C 2\uC2DC\uAC04 \uB9CC\uC5D0 \uAEBE\uC5C8\uB2E4. \uC2A4\uD1A1\uD53C\uC2DC\uC640 \uC5D8\uBAA8\uB294 \uC785\uB825\uB41C \uBE45\uB370\uC774\uD130\uB97C \uAE30\uBC18\uC73C\uB85C \uCD5C\uC801\uC758 \uC218\uB97C \uAC80\uC0C9\uD558\uB294 \uBC18\uBA74, \uC54C\uD30C \uC81C\uB85C\uB294 \uC778\uAC04\uC758 \uB450\uB1CC\uCC98\uB7FC \uC2EC\uCE35\uC2E0\uACBD\uB9DD \uAE30\uC220\uC744 \uD1B5\uD574 \uB370\uC774\uD130\uB97C \uC2A4\uC2A4\uB85C \uD559\uC2B5\uD558\uACE0 \uC2B9\uB960\uC744 \uB192\uC774\uB294 \uC88B\uC740 \uC218\uB97C \uCC3E\uC544\uB0B8\uB2E4. \uBC14\uB451\uC5D0\uC11C\uB3C4 \uC774\uC138\uB3CC 9\uB2E8\uACFC \uB300\uAD6D\uC744 \uBC8C\uC600\uB358 \uC54C\uD30C\uACE0 \uB9AC(Lee)\uB97C \uC774\uACBC\uACE0, 30\uC2DC\uAC04 \uB9CC\uC5D0 \uC54C\uD30C\uACE0 \uC81C\uB85C\uB3C4 \uCD94\uC6D4\uD558\uB294 \uC131\uB2A5\uC744 \uAC00\uC84C\uB2E4."@ko . . 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\u0648\u062D\u062F\u0627\u062A \u0645\u0639\u0627\u0644\u062C\u0629 \u0645\u0648\u062A\u0631. \u0646\u064F\u0634\u0631\u062A \u0627\u0644\u0648\u0631\u0642\u0629 \u0627\u0644\u0639\u0644\u0645\u064A\u0629 \u0627\u0644\u062E\u0627\u0635\u0629 \u0628\u0623\u0644\u0641\u0627\u0632\u064A\u0631\u0648 \u0645\u0646 \u0642\u0628\u0644 \u062F\u064A\u0628 \u0645\u0627\u064A\u0646\u062F \u0641\u064A \u062F\u0648\u0631\u064A\u0629 \u0633\u0627\u064A\u0646\u0633 \u0641\u064A 7 \u062F\u064A\u0633\u0645\u0628\u0631 2018. \u0648\u0641\u064A 2019 \u0646\u0634\u0631\u062A \u062F\u064A\u0628 \u0645\u0627\u064A\u0646\u062F \u0648\u0631\u0642\u0629 \u062C\u062F\u064A\u062F\u0629 \u062A\u0639\u0637\u064A \u062A\u0641\u0627\u0635\u064A\u0644\u0627 \u062D\u0648\u0644 \u0648\u0647\u064A \u062E\u0648\u0627\u0631\u0632\u0645\u064A\u0629 \u062C\u062F\u064A\u062F\u0629 \u0642\u0627\u062F\u0631\u0629 \u0639\u0644\u0649 \u062A\u0639\u0645\u064A\u0645 \u0639\u0645\u0644 \u0623\u0644\u0641\u0627\u0632\u064A\u0631\u0648\u060C \u0628\u062D\u064A\u062B \u062A\u0644\u0639\u0628 \u0643\u0644\u064B\u0651\u0627 \u0645\u0646 \u0623\u0644\u0639\u0627\u0628 \u0622\u062A\u0627\u0631\u064A \u0648\u0623\u0644\u0639\u0627\u0628 \u0627\u0644\u0631\u0642\u0639\u0629 \u0645\u0646 \u062F\u0648\u0646 \u0645\u0639\u0631\u0641\u0629 \u0645\u0633\u0628\u0642\u0629 \u0628\u0627\u0644\u0644\u0639\u0628\u0629 \u0623\u0648 \u0642\u0648\u0627\u0646\u064A\u0646\u0647\u0627."@ar . . . . . "AlphaZero\uFF08\u30A2\u30EB\u30D5\u30A1\u30BC\u30ED\uFF09\u306F\u3001DeepMind\u306B\u3088\u3063\u3066\u958B\u767A\u3055\u308C\u305F\u30B3\u30F3\u30D4\u30E5\u30FC\u30BF\u30D7\u30ED\u30B0\u30E9\u30E0\u3067\u3042\u308B\u3002\u6C4E\u5316\u3055\u308C\u305FAlphaGo Zero\u306E\u30A2\u30D7\u30ED\u30FC\u30C1\u3092\u4F7F\u7528\u3057\u3066\u3044\u308B\u3002 2017\u5E7412\u67085\u65E5\u3001DeepMind\u30C1\u30FC\u30E0\u306FAlphaGo Zero\u306E\u30A2\u30D7\u30ED\u30FC\u30C1\u3092\u6C4E\u5316\u3057\u305F\u30D7\u30ED\u30B0\u30E9\u30E0\u3067\u3042\u308BAlphaZero\u306E\u8AD6\u6587\u3092arXiv\u4E0A\u3067\u767A\u8868\u3057\u305F\u3002AlphaZero\u306F\u300124\u6642\u9593\u4EE5\u5185\u306B\u30C1\u30A7\u30B9\u3001\u5C06\u68CB\u3001\u56F2\u7881\u306E\u4E16\u754C\u30C1\u30E3\u30F3\u30D4\u30AA\u30F3\u30D7\u30ED\u30B0\u30E9\u30E0\u3067\u3042\u308BStockfish\u3001elmo\u30013\u65E5\u9593\u5B66\u7FD2\u3055\u305B\u305FAlphaGo Zero\u3092\u7834\u308B\u30EC\u30D9\u30EB\u306B\u9054\u3057\u305F\u3002\u5177\u4F53\u7684\u306B\u306F\u30012\u6642\u9593\u3067\u5C06\u68CB\u30014\u6642\u9593\u3067\u30C1\u30A7\u30B9\u306E\u6700\u9AD8\u5CF0\u306EAI\u306B\u52DD\u5229\u3057\u3001AlphaGo Zero\u30828\u6642\u9593\u3067\u4E0A\u56DE\u3063\u305F\u3002 AlphaZero\u306F\u3001\u30AA\u30FC\u30D7\u30CB\u30F3\u30B0\u30D6\u30C3\u30AF\uFF08\u5E8F\u76E4\u5B9A\u8DE1\u30C7\u30FC\u30BF\u30D9\u30FC\u30B9\uFF09\u3068\u30A8\u30F3\u30C9\u30B2\u30FC\u30E0\u306E\u8868\uFF08\u7D42\u76E4\u3092\u89E3\u6790\u3057\u305F\u30C7\u30FC\u30BF\u30D9\u30FC\u30B9\uFF09\u3092\u53C2\u7167\u305B\u305A\u306B\u30014\u6642\u9593\u306E\u81EA\u5DF1\u5BFE\u6226\u3060\u3051\u3067Stockfish\u3092\u51CC\u99D5\u3057\u305F\u3002 \u305D\u308C\u307E\u3067\u30C1\u30A7\u30B9\u304A\u3088\u3073\u5C06\u68CB\u306EAI\u3067\u4E00\u822C\u7684\u3067\u3042\u3063\u305F\u30A2\u30EB\u30D5\u30A1\u30FB\u30D9\u30FC\u30BF\u63A2\u7D22\u3067\u306F\u306A\u304F\u3001\u56F2\u7881AI\u3067\u6210\u529F\u3092\u53CE\u3081\u305F\u30E2\u30F3\u30C6\u30AB\u30EB\u30ED\u6728\u63A2\u7D22\uFF08\u30E2\u30F3\u30C6\u30AB\u30EB\u30ED\u6CD5\u306E\u5FDC\u7528\uFF09\u3068\u30C7\u30A3\u30FC\u30D7\u30E9\u30FC\u30CB\u30F3\u30B0\u3092\u3053\u308C\u3089\u306E\u30B2\u30FC\u30E0\u306B\u5BFE\u3057\u3066\u9069\u7528\u3057\u3066\u3082\u5F37\u3044AI\u304C\u4F5C\u308C\u308B\u3053\u3068\u3092\u5B9F\u8A3C\u3057\u305F\u3002"@ja . . "AlphaZero ist ein autodidaktisches Computerprogramm von DeepMind, dessen Algorithmus mehrere komplexe Brettspiele einzig anhand der Spielregeln und Siegbedingungen sowie durch intensives Spielen gegen sich selbst erlernt. Das Programm verwendet einen verallgemeinerten Ansatz von AlphaGo Zero und beherrscht nach entsprechendem Training nicht nur Go, sondern auch die Strategiespiele Schach und Sh\u014Dgi. Am 5. Dezember 2017 ver\u00F6ffentlichte DeepMind, eine Forschungseinrichtung f\u00FCr K\u00FCnstliche Intelligenz und Tochterunternehmen von Alphabet Inc., ein Preprint auf ArXiv \u00FCber das Programm AlphaZero, in dem beschrieben wird, dass AlphaZero innerhalb von 24 Stunden durch best\u00E4rkendes Lernen eine \u00FCberragende Spielst\u00E4rke erreichte und die leistungsst\u00E4rksten Programme Stockfish, Elmo und eine Drei-Tages-Version von AlphaGo Zero in ihren jeweiligen Disziplinen besiegte, dabei jedoch leistungsf\u00E4higere Hardware als die Gegnerprogramme verwendete. Mit dem Dokument wurden lediglich zehn Gewinnpartien von AlphaZero gegen Stockfish ver\u00F6ffentlicht. Alle weiteren Partien sowie auch AlphaZero selbst waren zun\u00E4chst nicht zug\u00E4nglich und die Ergebnisse des Dokuments nicht durch ein Peer-Review verifiziert. Eine erweiterte und begutachtete Version des Artikels erschien am 7. Dezember 2018 in der Zeitschrift Science. AlphaZero schlug das freie Schachprogramm Stockfish 8 nach neun Stunden Selbstlernen. F\u00FCr das Anlernen des k\u00FCnstlichen neuronalen Netzwerks wurden 64 Tensor Processing Units (TPU) der zweiten Generation verwendet. Weitere 5.000 TPUs der ersten Generation wurden f\u00FCr das Erzeugen der dazu notwendigen Trainingspartien eingesetzt. Der Algorithmus mit dem trainierten neuronalen Netzwerk spielte dann auf einem einzigen Computer mit lediglich vier TPUs."@de . . . . "AlphaZero es un programa inform\u00E1tico desarrollado por DeepMind, que utiliza un enfoque generalizado de AlphaGo Zero. El 5 de diciembre de 2017, el equipo de DeepMind lanz\u00F3 una preimpresi\u00F3n presentando AlphaZero, que logr\u00F3 en 24 horas un nivel de juego sobrehumano en ajedrez, shogi y Go al derrotar a los campeones del mundo, Stockfish, Elmo y la versi\u00F3n de 3 d\u00EDas de AlphaGo Zero en cada caso. AlphaZero domin\u00F3 a Stockfish despu\u00E9s de solo 4 horas de autoaprendizaje, sin acceso a o base de datos de tablas de finales.\u200B\u200B\u200B"@es . . . . . . . . "AlphaZero \u00E9s un programa inform\u00E0tic desenvolupat per DeepMind, que utilitza un enfocament generalitzat d'AlphaGo Zero. El 5 de desembre de 2017, l'equip de DeepMind va llan\u00E7ar una preimpressi\u00F3 presentant AlphaZero, que va aconseguir en 24 hores un nivell de joc sobrehum\u00E0 en escacs, shogi i Go en derrotar els campions del m\u00F3n, Stockfish, Elmo i la versi\u00F3 de 3 dies d'AlphaGo Zero en cada cas. AlphaZero va dominar Stockfish despr\u00E9s de nom\u00E9s 4 hores d'autoaprenentatge, sense acc\u00E9s a llibres d'obertura o base de dades de taules de finals."@ca . . . . . . . . . . . . . "22447"^^ . "AlphaZero is a computer program developed by artificial intelligence research company DeepMind to master the games of chess, shogi and go. This algorithm uses an approach similar to AlphaGo Zero. On December 5, 2017, the DeepMind team released a preprint introducing AlphaZero, which within 24 hours of training achieved a superhuman level of play in these three games by defeating world-champion programs Stockfish, elmo, and the three-day version of AlphaGo Zero. In each case it made use of custom tensor processing units (TPUs) that the Google programs were optimized to use. AlphaZero was trained solely via self-play using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame tables. After four hours of training, DeepMind estimated AlphaZero was playing chess at a higher Elo rating than Stockfish 8; after nine hours of training, the algorithm defeated Stockfish 8 in a time-controlled 100-game tournament (28 wins, 0 losses, and 72 draws). The trained algorithm played on a single machine with four TPUs. DeepMind's paper on AlphaZero was published in the journal Science on 7 December 2018. However, the AlphaZero program itself has not been made available to the public. In 2019 DeepMind published a new paper detailing MuZero, a new algorithm able to generalise AlphaZero's work, playing both Atari and board games without knowledge of the rules or representations of the game."@en . "AlphaZero \u2014 \u0446\u0435 \u043A\u043E\u043C\u043F'\u044E\u0442\u0435\u0440\u043D\u0430 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u0430, \u0440\u043E\u0437\u0440\u043E\u0431\u043B\u0435\u043D\u0430 \u043A\u043E\u043C\u043F\u0430\u043D\u0456\u0454\u044E DeepMind, \u044F\u043A\u0430 \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u043E\u0432\u0443\u0454 \u0443\u0437\u0430\u0433\u0430\u043B\u044C\u043D\u0435\u043D\u0438\u0439 \u043F\u0456\u0434\u0445\u0456\u0434 . 5 \u0433\u0440\u0443\u0434\u043D\u044F 2017 \u0440\u043E\u043A\u0443 \u043A\u043E\u043B\u0435\u043A\u0442\u0438\u0432 DeepMind \u0432\u0438\u043F\u0443\u0441\u0442\u0438\u0432 \u043F\u0440\u0435\u043F\u0440\u0438\u043D\u0442\u043D\u0435 \u0432\u0432\u0435\u0434\u0435\u043D\u043D\u044F AlphaZero, \u044F\u043A\u0435 \u0432\u043F\u0440\u043E\u0434\u043E\u0432\u0436 24 \u0433\u043E\u0434\u0438\u043D \u0434\u043E\u0441\u044F\u0433\u043D\u0443\u043B\u043E \u043D\u0430\u0434\u043B\u044E\u0434\u0441\u044C\u043A\u043E\u0433\u043E \u0440\u0456\u0432\u043D\u044F \u0433\u0440\u0438 \u0432 \u0448\u0430\u0445\u0438, \u0421\u044C\u043E\u0491\u0456, \u0456 \u0491\u043E, \u043F\u0435\u0440\u0435\u043C\u0456\u0433\u0448\u0438 \u0447\u0435\u043C\u043F\u0456\u043E\u043D\u0456\u0432 \u0441\u0432\u0456\u0442\u0443 \u0441\u0435\u0440\u0435\u0434 \u043F\u0440\u043E\u0433\u0440\u0430\u043C, Stockfish, Elmo \u0456 3-\u0434\u0435\u043D\u043D\u0438\u0439 \u0432\u0430\u0440\u0456\u0430\u043D\u0442 AlphaGo Zero \u0432 \u043A\u043E\u0436\u043D\u043E\u043C\u0443 \u0432\u0438\u043F\u0430\u0434\u043A\u0443, \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u043E\u0432\u0443\u044E\u0447\u0438 \u043A\u0440\u0430\u0449\u0435 \u043A\u043E\u043C\u043F'\u044E\u0442\u0435\u0440\u043D\u0435 \u043E\u0431\u043B\u0430\u0434\u043D\u0430\u043D\u043D\u044F \u0432\u0456\u0434\u043D\u043E\u0441\u043D\u043E \u0441\u0432\u043E\u0457\u0445 \u043E\u043F\u043E\u043D\u0435\u043D\u0442\u0456\u0432. AlphaZero \u043F\u0435\u0440\u0435\u043C\u0456\u0433 Stockfish 8 (\u0440\u0443\u0448\u0456\u0439 \u0433\u0440\u0430\u0432 \u0431\u0435\u0437 \u0434\u043E\u0441\u0442\u0443\u043F\u0443 \u0434\u043E \u0442\u0430 \u0435\u043D\u0434\u0448\u043F\u0456\u043B\u044C\u043D\u0438\u0445 \u0442\u0430\u0431\u043B\u0438\u0446\u044C) \u0433\u0440\u0430\u044E\u0447\u0438 \u0437 \u043A\u0440\u0430\u0449\u0438\u043C \u043A\u043E\u043C\u043F'\u044E\u0442\u0435\u0440\u043D\u0438\u043C \u043E\u0431\u043B\u0430\u0434\u043D\u0430\u043D\u043D\u044F\u043C \u0432\u0438\u0434\u0456\u043B\u0435\u043D\u0438\u043C \u0434\u043B\u044F AlphaZero."@uk . . "1115199027"^^ . "AlphaZero\u662FDeepMind\u6240\u958B\u767C\u7684\u4EBA\u5DE5\u667A\u80FD\u8EDF\u9AD4\u3002"@zh . . . . "AlphaZero\u662FDeepMind\u6240\u958B\u767C\u7684\u4EBA\u5DE5\u667A\u80FD\u8EDF\u9AD4\u3002"@zh . . "AlphaZero"@uk . "AlphaZero"@ru . "AlphaZero"@es . . . . . "AlphaZero est une version g\u00E9n\u00E9raliste d\u2019AlphaGo Zero, un logiciel de go (jeu de strat\u00E9gie abstrait chinois) qui a \u00E9t\u00E9 adapt\u00E9 pour jouer aux \u00E9checs et au shogi (\u00E9checs japonais). AlphaZero a \u00E9t\u00E9 cr\u00E9\u00E9 par Demis Hassabis de DeepMind, une entreprise appartenant au groupe Google."@fr . "55981499"^^ . . . "AlphaZero"@zh . . . . . . "\u0623\u0644\u0641\u0627\u0632\u064A\u0631\u0648 \u0623\u0648 \u0623\u0644\u0641\u0627 \u0632\u064A\u0631\u0648 (\u0628\u0627\u0644\u0625\u0646\u062C\u0644\u064A\u0632\u064A\u0629: AlphaZero)\u200F \u0647\u0648 \u0628\u0631\u0646\u0627\u0645\u062C \u062D\u0627\u0633\u0648\u0628 \u0637\u0648\u0631\u062A\u0647 \u0634\u0631\u0643\u0629 \u062F\u064A\u0628 \u0645\u0627\u064A\u0646\u062F \u0627\u0644\u0645\u062A\u062E\u0635\u0635\u0629 \u0641\u064A \u0623\u0628\u062D\u0627\u062B \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064A \u0645\u0646 \u0623\u062C\u0644 \u0625\u062A\u0642\u0627\u0646 \u0623\u0644\u0639\u0627\u0628 \u0627\u0644\u0634\u0637\u0631\u0646\u062C \u0648\u0627\u0644\u0634\u0648\u063A\u064A \u0648\u063A\u0648. \u0648\u062A\u0633\u062A\u062E\u062F\u0645 \u062E\u0648\u0627\u0631\u0632\u0645\u064A\u062A\u0647 \u0645\u0646\u0647\u062C\u0627 \u0645\u0645\u0627\u062B\u0644\u0627 \u0644\u0645\u0646\u0647\u062C . \u0623\u0635\u062F\u0631 \u0641\u0631\u064A\u0642 \u062F\u064A\u0628 \u0645\u0627\u064A\u0646\u062F \u0641\u064A 5 \u062F\u064A\u0633\u0645\u0628\u0631 2017 \u0645\u0637\u0628\u0648\u0639\u0629 \u0623\u0648\u0644\u064A\u0629 \u0639\u0631\u0651\u0641 \u0641\u064A\u0647\u0627 \u0639\u0646 \u0623\u0644\u0641\u0627\u0632\u064A\u0631\u0648\u060C \u0627\u0644\u0630\u064A \u062D\u0642\u0642 \u0628\u0639\u062F 24 \u0633\u0627\u0639\u0629 \u0645\u0646 \u0627\u0644\u062A\u062F\u0631\u064A\u0628 \u0645\u0633\u062A\u0648\u0649 \u0644\u0639\u0628 \u0641\u0627\u0642 \u0645\u0633\u062A\u0648\u0649 \u0627\u0644\u0628\u0634\u0631 \u0641\u064A \u0647\u0630\u0647 \u0627\u0644\u0623\u0644\u0639\u0627\u0628 \u0627\u0644\u062B\u0644\u0627\u062B\u0629 \u0648\u0630\u0644\u0643 \u0628\u0647\u0632\u064A\u0645\u0629 \u0627\u0644\u0628\u0631\u0627\u0645\u062C \u0623\u0628\u0637\u0627\u0644 \u0627\u0644\u0639\u0627\u0644\u0645 \u0648\u0625\u0644\u0645\u0648 \u0648\u0646\u0633\u062E\u0629 3 \u0623\u064A\u0627\u0645 \u0645\u0646 \u0623\u0644\u0641\u0627\u063A\u0648 \u0632\u064A\u0631\u0648. \u0627\u0633\u062A\u062E\u062F\u0645 \u0623\u0644\u0641\u0627\u0632\u064A\u0631\u0648 \u0641\u064A \u0643\u0644 \u062D\u0627\u0644\u0629 (TPUs) \u0645\u062E\u0635\u0635\u0629 \u0643\u0627\u0646\u062A \u0628\u0631\u0627\u0645\u062C \u063A\u0648\u063A\u0644 \u0642\u062F \u0623\u064F\u0645\u062B\u0650\u0644\u062A \u0644\u0627\u0633\u062A\u062E\u062F\u0627\u0645\u0647\u0627. \u062A\u062F\u0631\u0628 \u0623\u0644\u0641\u0627\u0632\u064A\u0631\u0648 \u0639\u0628\u0631 \u00AB\u0627\u0644\u0644\u0639\u0628 \u0645\u0639 \u0627\u0644\u0630\u0627\u062A\u00BB \u0641\u0642\u0637 \u0628\u0627\u0633\u062A\u062E\u062F\u0627\u0645 5000 \u0648\u062D\u062F\u0629 \u0645\u0639\u0627\u0644\u062C\u0629 \u0645\u0648\u062A\u0631 \u0645\u0646 \u0627\u0644\u062C\u064A\u0644 \u0627\u0644\u0623\u0648\u0644 \u0644\u062A\u0648\u0644\u064A\u062F \u0627\u0644\u0645\u0628\u0627\u0631\u064A\u0627\u062A \u064864 \u0648\u062D\u062F\u0629 \u0645\u0639\u0627\u0644\u062C\u0629 \u0645\u0648\u062A\u0631 \u0645\u0646 \u0627\u0644\u062C\u064A\u0644 \u0627\u0644\u062B\u0627\u0646\u064A \u0644\u062A\u062F\u0631\u064A\u0628 \u0627\u0644\u0634\u0628\u0643\u0627\u062A \u0627\u0644\u0639\u0635\u0628\u064A\u0629\u060C \u0643\u0644 \u0647\u0630\u0627 \u0628\u0627\u0644\u062A\u0648\u0627\u0632\u064A \u0645\u0639 \u0639\u062F\u0645 \u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0643\u062A\u0628 \u0627\u0644\u0627\u0641\u062A\u062A\u0627\u062D\u064A\u0627\u062A \u0623\u0648 \u062C\u062F\u0627\u0648\u0644 \u0646\u0647\u0627\u064A\u0629 \u0627\u0644\u0644\u0639\u0628. \u0628\u0639\u062F \u0623\u0631\u0628\u0639 \u0633\u0627\u0639\u0627\u062A \u0645\u0646 \u0627\u0644\u062A\u062F\u0631\u064A\u0628\u060C \u0642\u062F\u064E\u0651\u0631\u062A \u062F\u064A\u0628 \u0645\u0627\u064A\u0646\u062F \u0623\u0646 \u0623\u0644\u0641\u0627\u0632\u064A\u0631\u0648 \u0643\u0627\u0646 "@ar . . . "AlphaZero \u2014 \u043D\u0435\u0439\u0440\u043E\u043D\u043D\u0430\u044F \u0441\u0435\u0442\u044C, \u0440\u0430\u0437\u0440\u0430\u0431\u043E\u0442\u0430\u043D\u043D\u0430\u044F \u043A\u043E\u043C\u043F\u0430\u043D\u0438\u0435\u0439 DeepMind, \u043A\u043E\u0442\u043E\u0440\u0430\u044F \u0438\u0441\u043F\u043E\u043B\u044C\u0437\u0443\u0435\u0442 \u043E\u0431\u043E\u0431\u0449\u0451\u043D\u043D\u044B\u0439 \u043F\u043E\u0434\u0445\u043E\u0434 AlphaGo Zero. 5 \u0434\u0435\u043A\u0430\u0431\u0440\u044F 2017 \u0433\u043E\u0434\u0430 \u043A\u043E\u043B\u043B\u0435\u043A\u0442\u0438\u0432 DeepMind \u0432\u044B\u043F\u0443\u0441\u0442\u0438\u043B \u043F\u0440\u0435\u043F\u0440\u0438\u043D\u0442 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u044B AlphaZero, \u043A\u043E\u0442\u043E\u0440\u0430\u044F \u043F\u043E\u0441\u043B\u0435 \u0442\u0440\u0435\u043D\u0438\u0440\u043E\u0432\u043A\u0438 \u0432 \u0442\u0435\u0447\u0435\u043D\u0438\u0435 24 \u0447\u0430\u0441\u043E\u0432 \u0441\u043C\u043E\u0433\u043B\u0430 \u043F\u043E\u0431\u0435\u0434\u0438\u0442\u044C \u0447\u0435\u043C\u043F\u0438\u043E\u043D\u043E\u0432 \u043C\u0438\u0440\u0430 \u0441\u0440\u0435\u0434\u0438 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C \u043F\u043E \u0438\u0433\u0440\u0430\u043C \u0432 \u0448\u0430\u0445\u043C\u0430\u0442\u044B, \u0441\u0451\u0433\u0438 \u0438 \u0433\u043E (Stockfish, Elmo \u0438 \u0442\u0440\u0435\u0445\u0434\u043D\u0435\u0432\u043D\u044B\u0439 \u0432\u0430\u0440\u0438\u0430\u043D\u0442 AlphaGo Zero \u0441\u043E\u043E\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043D\u043D\u043E). \u0422\u0430\u043A\u0438\u043C \u043E\u0431\u0440\u0430\u0437\u043E\u043C, \u0432 \u043D\u0430\u0441\u0442\u043E\u044F\u0449\u0435\u0435 \u0432\u0440\u0435\u043C\u044F \u0438\u0441\u043A\u0443\u0441\u0441\u0442\u0432\u0435\u043D\u043D\u044B\u0439 \u0438\u043D\u0442\u0435\u043B\u043B\u0435\u043A\u0442 AlphaZero \u044F\u0432\u043B\u044F\u0435\u0442\u0441\u044F \u0441\u0438\u043B\u044C\u043D\u0435\u0439\u0448\u0435\u0439 \u0438\u0437 \u0432\u0441\u0435\u0445 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C \u0434\u043B\u044F \u0438\u0433\u0440 \u0432 \u0441\u0451\u0433\u0443 \u0438 \u0433\u043E. \u0412 \u0448\u0430\u0445\u043C\u0430\u0442\u044B \u0441\u0438\u043B\u0443 AlphaZero \u043D\u0435\u043B\u044C\u0437\u044F \u043E\u0446\u0435\u043D\u0438\u0442\u044C \u043D\u0430 \u0434\u0430\u043D\u043D\u044B\u0439 \u043C\u043E\u043C\u0435\u043D\u0442, \u043F\u043E \u043F\u0440\u0438\u0447\u0438\u043D\u0435 \u043D\u0435\u0445\u0432\u0430\u0442\u043A\u0438 \u043F\u0430\u0440\u0442\u0438\u0439, \u043E\u043D\u0438 \u043D\u0435 \u0438\u0433\u0440\u0430\u043B\u0438\u0441\u044C \u0441 2017 \u0433\u043E\u0434\u0430."@ru . . . . "\u0623\u0644\u0641\u0627\u0632\u064A\u0631\u0648"@ar . . . . "AlphaZero"@ca . "AlphaZero \u00E8 un algoritmo di intelligenza artificiale basato su tecniche di apprendimento automatico sviluppato da Google DeepMind. \u00C8 una generalizzazione di AlphaGo Zero, predecessore sviluppato specificamente per il gioco del go e a sua volta evoluzione di AlphaGo, primo software capace di raggiungere prestazioni sovrumane nel gioco del go. Analogamente ad AlphaGo Zero, impiega la ricerca ad albero Monte Carlo (MCTS) guidata da una rete neurale convoluzionale profonda addestrata per rinforzo. Il 5 dicembre 2017 il team DeepMind ha pubblicato su arXiv un preprint nel quale vengono presentati alcuni risultati ottenuti da AlphaZero in diversi giochi da tavolo classici, raggiungendo con poche ore di training un livello sovrumano nel gioco degli scacchi, sh\u014Dgi e go, superando la forza di gioco di programmi campioni del mondo nelle rispettive discipline: Stockfish per gli scacchi e elmo/yaneura ou per lo shogi (entrambi motori basati su algoritmi tradizionali, ovvero ricerca ad albero con potatura alfa-beta), e AlphaGo Zero per il go. In particolare, un'istanza di AlphaZero ha vinto un match di 100 partite contro Stockfish, ottenendo 25 vittorie con il bianco, 3 con il nero, e patta nel resto delle partite. Gli autori stimano che AlphaZero abbia superato la forza di gioco di Stockfish dopo le prime quattro ore di addestramento (circa 300 000 mini-batch). La versione definitiva dell'articolo \u00E8 stata pubblicata su Science nel numero di dicembre 2018."@it . . . "AlphaZero"@de . "AlphaZero"@it . "\uC54C\uD30C\uC81C\uB85C(AlphaZero)\uB294 \uC778\uAC04\uC774 \uC774\uB8E9\uD55C \uC9C0\uC2DD\uC758 \uB3C4\uC6C0 \uC5C6\uC774 \uB3C5\uD559\uC73C\uB85C \uBC14\uB451, \uCCB4\uC2A4, \uC1FC\uAE30(\uC77C\uBCF8 \uC7A5\uAE30) \uB4F1\uC744 \uB3C5\uD30C\uD55C \uAD6C\uAE00\uC758 \uC778\uACF5\uC9C0\uB2A5(AI)\uC774\uB2E4. \uAD6C\uAE00 \uB525\uB9C8\uC778\uB4DC\uC758 \uCD5C\uACE0\uACBD\uC601\uC790(CEO)\uC778 \uB370\uBBF8\uC2A4 \uD5C8\uC0AC\uBE44\uC2A4 \uB4F1\uC758 13\uBA85\uC758 \uC5F0\uAD6C\uC790\uB4E4\uC774 \uB17C\uBB38 <\uC790\uAC00\uD559\uC2B5\uC744 \uD1B5\uD574 \uCCB4\uC2A4, \uC1FC\uAE30, \uBC14\uB451\uC744 \uB9C8\uC2A4\uD130\uD560 \uC218 \uC788\uB294 \uBC94\uC6A9 \uAC15\uD654\uD559\uC2B5 \uC54C\uACE0\uB9AC\uC998>\uC744 \uACFC\uD559 \uD559\uC220\uC9C0 \u300A\uC0AC\uC774\uC5B8\uC2A4\u300B2018\uB144 12\uC6D4 7\uC77C\uC790\uC5D0 \uBC1C\uD45C\uD558\uBA74\uC11C \uC54C\uD30C \uC81C\uB85C\uC758 \uB4F1\uC7A5\uC744 \uC54C\uB838\uB2E4."@ko . . . . "AlphaZero es un programa inform\u00E1tico desarrollado por DeepMind, que utiliza un enfoque generalizado de AlphaGo Zero. El 5 de diciembre de 2017, el equipo de DeepMind lanz\u00F3 una preimpresi\u00F3n presentando AlphaZero, que logr\u00F3 en 24 horas un nivel de juego sobrehumano en ajedrez, shogi y Go al derrotar a los campeones del mundo, Stockfish, Elmo y la versi\u00F3n de 3 d\u00EDas de AlphaGo Zero en cada caso. AlphaZero domin\u00F3 a Stockfish despu\u00E9s de solo 4 horas de autoaprendizaje, sin acceso a o base de datos de tablas de finales.\u200B\u200B\u200B"@es .