【論文翻譯】Mastering the game of Go with deep neural networks and tree search( 用深度神經網絡和樹搜索實現圍棋遊戲)
【原文作者及來源：Silver D, Huang A, Maddison C J, et al. Mastering the game of Go with deep neural networks and tree search.[J]. Nature, 2016, 529(7587):484-489.】 【此譯文由COCO主要完成，對MarkDown編輯器正在熟悉過程中，因此，文章中相關公式存
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相關文章
- 1. Mastering the game of Go with deep neural networks and tree search (AlphaGo)
- 2. Mastering the game of Go with deep neural networks and tree search 概括
- 3. AlphaGo論文的譯文，用深度神經網絡和樹搜索征服圍棋：Mastering the game of Go with deep neural networks and tree search
- 4. AlphaGo是如何煉成的：解讀論文 "Mastering the game of Go with deep neural networks and tree search"
- 5. Mastering the game of Go without human knowledge譯文
- 6. 《master the game of GO wtth deep neural networks and tree search》研究解讀
- 7. 翻譯Deep Learning and the Game of Go（1）緒論部分
- 8. AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search中文譯文
- 9. Mastering the game of Go without human knowledge (AlphaGo Zero)
- 10. 【論文翻譯】Mastering the game of Go without human knowledge (無師自通---在不借助人類知識的情況下學會圍棋）