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美国围棋大会阿法勾团队演讲实录

美国围棋大会阿法勾团队演讲实录

各位弈友晚安,如昨日美国围棋现场花絮所示,阿法勾团队给出了关于阿法勾的发展历程以及阿法勾现状的讲演,下文为AGA官网对于本次讲演的实录。其中粗体字提到阿法勾从数据上已经被认为可以让职业选手二子。(原文为顶尖职业,被秒改。)以下还是先来看一下全文吧:

With over 600 signed up, this year’s U.S. Go Congress in Boston has the most registrants in the 32-year history of the2016.07.30_aja-huang event and it seemed as though just about every one of them was crowded into the main playing area in Boston University’s George Sherman Union Saturday night as AlphaGo’s Aja Huang 7d gave the keynote address, along with Fan Hui 2P. The audience was spellbound as the two gave a fascinating insider’s look at the two-year development of the AI program that decisively defeated Lee Sedol last March and attracted global attention to the game of go.

翻译:今年在波士顿的美国围棋大会是32年来参赛人数最多的一次,有超过600人。并且大家都在星期六的晚上涌向波士顿大学的GSU大楼,因为AlphaGo团队中的核心成员Aja
Huang博士和樊麾二段在这里作报告。当两位在台上分享人工智能程序两年的发展史以及在刚刚过去的三月打败李世石的那场吸引了全世界目光的人机大战时,台下的观众听得十分入迷。

Huang (right) gave an overview of how AlphaGo started in 2014 as a 2-man project as he and David Silver worked to explore deep learning and reinforcement learning with computer go. The policy network trained by supervised learning was developed by Chris Maddison and the team realized significant improvement in the latter half of 2014 by combining the policy network into AlphaGo. While the details are fully explained in the team’s Nature paper, Huang shared personal stories like how Fan Hui was chosen to test the program. “I 2016.07.30_fan-huisaw him at a tournament in Dublin and the top Korean players were all going out to drink the night before the tournament but he said no, he couldn’t go because he had to prepare for the games, so I knew he was very serious,” Huang laughed.

翻译:Huang博士坦言,14年的时候,他和David
Silver开始他们两人的项目——探索研究计算机围棋的“深度学习”和“强化学习”能力。Chirs
Maddison负责“监督学习”的行棋网络。整个团队在14年的后半年将行棋网络植入AlphaGo,这才有了重大突破。鉴于大家在自然杂志上都有了解过AlphaGo的运作细节,Huang博士便决定给大家分享一些例如樊麾老师是怎样被选中来测试AlphaGo的故事。“我是在都柏林的一个比赛上注意到他的,那天晚上韩国的棋手都出去喝酒了但是他说不去,因为他要为比赛做好准备,所以我觉得他是个很认真的人。”

——美国围棋大会 众多棋友参加AlphaGo分享会

Fan Hui (left) said that he almost missed
the invitation to visit the DeepMind team in London because it seemed a
bit odd and he thought “it might just be spam.” In fact, “when I heard
it was Google, I assumed they would be hooking me up with something like
Google Glass, so when I found out they just wanted me to play a
computer program I was so relieved and thought Oh, this will be easy.”
In perhaps the most poignant story of the evening, Fan Hui took the rapt
audience through his five secret games with AlphaGo in Fall 2015,
losing every game until at the end, “my game was crushed and I thought I
now knew nothing about go.” Out of those defeats, however, Fan Hui
discovered even greater depths, not just to go itself, but to his own
fascination and love of the game. “What AlphaGo teaches us is that you
can play anywhere,” he said, as the audience erupted in applause.

翻译:樊麾说他当时几乎都忘记了要去伦敦参观Deep Mind团队的事情因为他觉得不可思议,甚至想过“可能是骗子”。事实上,“当我听说这是谷歌的团队,我觉得也许他们是为了‘谷歌眼镜’找的我,所以我知道他们仅仅是想让我和一个电脑程序下棋的时候,我长舒一口气,这很容易。”就这样,在15年的秋天,樊麾全力以赴和AlphaGo进行秘密的五盘对局,然而这是一个忧伤的故事,最后他以0:5大败。“我下得一塌糊涂,甚至觉得自己对围棋一无所知了。”抛却这些失利,樊麾看得更远,他认为这场人机大战不只是对弈下棋,更是围棋这项运动的魅力和激情在闪光。“AlphaGo教会我们,你可以下在棋盘上的任何位置。”讲到这里,台下观众给予了热烈的掌声。


After their presentation, the two took questions from the audience, many of whom wanted to know things like when an AlphaGoBot on KGS will be available and whether a strong version of the program would be available in the near future for desktops or handhelds. Most were answered cryptically with “Under discussion,” but in response to a question about how strong AlphaGo is today, Huang — who had earlier showed a graph charting improvement of one rank a month — did say that it was possible that the program could now give a professional two stones, but that this has not yet been tested. He also said that commentaries will be released soon on all five AlphaGo-Lee Sedol games, as well as three games between AlphaGo v18 (the version that played Lee Sedol).

翻译:演讲结束后,他们回答了观众的提问,很多人都比较想知道KGS上注册的AlphaGoBot账号何时能够使用,以及在不久之后的电脑桌面和手机端会不会出现更厉害版本的对弈程序。大多问题的答案都是“还有待确定”,但是对“AlphaGo目前到底有多强大”
这一问题,Huang博士表示,AlphaGo现在可以让到职业棋手两子,但是这还未经过验实。他同时也表示,与李世石的五局棋谱分析将会很快面市,还包括(和李世石下棋的版本)AlphaGo V18自我对弈的三局训练棋谱。


Longtime International Go Federation and
American Go Association official Thomas Hsiang presented Huang and Fan
with a special award from the International Go Federation to the AlphaGo
team “in appreciation for its outstanding contribution towards the
development and promotion of go.”

翻译:之前,国际围棋联盟和美国围棋协会官员Thomas Hsiang代表国际围棋联盟,向AlphaGo团队Huang博士和樊麾授予了特殊贡献奖,以表彰他们对围棋的发展做出的杰出贡献。