【论文翻译】Mastering the game of Go with deep neural networks and tree search( 用深度神经网络和树搜索实现围棋游戏)
【原文作者及来源：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.】 【此译文由COCO主要完成，对MarkDown编辑器正在熟悉过程中，因此，文章中相关公式存
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相关文章
- 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论文的译文，用深度神经网络和树搜索征服围棋：Mastering the game of Go with deep neural networks and tree search
- 4. AlphaGo是如何炼成的：解读论文 "Mastering the game of Go with deep neural networks and tree search"
- 5. Mastering the game of Go without human knowledge译文
- 6. 《master the game of GO wtth deep neural networks and tree search》研究解读
- 7. 翻译Deep Learning and the Game of Go（1）绪论部分
- 8. AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search中文译文
- 9. Mastering the game of Go without human knowledge (AlphaGo Zero)
- 10. 【论文翻译】Mastering the game of Go without human knowledge (无师自通---在不借助人类知识的情况下学会围棋）