Ke Jie has once again become the benchmark for Go AI.

As a human benchmark to test the AI ​​level in the chess world, Ke Jie lost again.

At 8:30 p.m. on January 17th, 2018, in the Tennessee Wild Fox Go game platform 1059, the game room quickly gathered more than 7,000 onlookers. This is so popular because only an extremely rare game in the history of Go is taking place. As the professional top player in the international chess world, and the top one, Ke Jie became the first to be the son of the child in open competition, and It is to let two sons (black posts 6 heads and a half).

Playing against Ke Jie is the Go AI "Fair Art" developed by Tencent's AI Lab. But soon, despite being allowed to two sons, Ke Jie was still dissatisfied with the performance of his 77th move. This meaningful matchup just came to an end.

Afterwards, the Super Silver Crown Swordsman played silently (with a smile of nine paragraphs) on the stage to challenge the “Fair Art”, but he was still reluctant to admit defeat after 247 hands.

"Just art" pairs Ke Kejie's nine paragraphs (that is, "latency") and Lianxiao nine paragraphs (that is, "swords are too silent"). In the game, Ke Jie chased White's defeat on the right, only played 77 hands, then he readily throw in the towel; an hour later even followed up with nine paragraphs to follow up.

People in the chess world may already be familiar with the name of "extraordinary art"; people who are not in the chess world may not understand this "domestic dog."

Compared to Japan's DeepZenGo and Britain's AlphaGo, domestic investment in Computer Go started late. Tencent started to develop Go AI only in February 2016. However, soon, the first version of the "Fair Art" artificial intelligence was ready for completion on March 4, 2016.

Subsequently, the “Fine Art AI” opened several accounts on the wild fox platform of Tencent Go, including lively tigers, wild foxes, no dogs 20, exquisite arts, dragons, and criminal days. Among them, the "Extraordinary Arts" account has the longest usage time, the highest number of matches and the highest reputation. At present, on the Wild Fox platform, there are various trumpet "Absolute Arts Guide" A, B, C, D, etc., which are used to play chess players with different positions.

"Extraordinary Arts" Title Source:

Re-send quatrains (Du Mu)

Art is as rare as the world, and idlers are like me.

Do not wait for the wind and snow at night after the bamboo window.

Although it was late in the night, AI's development was very fast. After only four months, in the end of June 2016, Juesi has broken through the amateur six-segment; in August of the same year, it began to test the wild fo go online game platform under Tencent, and defeated the professional player for the first time on August 23. Nov. 2 defeated world champion Jiang Weijie for the first time. He defeated Ke Jie for the first time on November 19.

For the first time, exquisite arts attracted wide attention. It was promoted to the “Ten Section” master on the Wild Fox platform in early March 2017. But before that, it had already defeated such masters as South Korea’s Go players, such as Coulee, Lian Lian, and Ping Tingyu; even between February 14 and February 24, they played against Ke Jie ten times without any failure.

After that, at the 10th UEC Cup World Computer Go Conference on March 18-19, 2017, the game won the title of Deep ZenGo, the “second” AI in the computer game industry. As a result of this championship, Juyi won the qualification to participate in the 5th Jihad jihad and on March 26th, 2017 he played chess with the new players from the Japanese Chess Institute and managed to win the 157 in the hand.

Things are always frustrating. In August of 2017, at the first World Go Open in China at the China Go Games in Ordos, Deep Zengo was unfortunately defeated in the semi-final match of the “Wonderful Arts” and failed to reach the final. After this campaign, the "unique skills" will continue to iterate.

On November 15, 2017, a nickname "According to expectations" appeared on the Wild Fox platform. They played 99 games in several days. In addition to the 40th Bureau defeated by Ke Jie, the rest won. At the same time, "in line with expectations" also played against the Wizard of Final Fighting A (UEC Cup title win), and in the case of the second son, the upgrade was completed in 60 consecutive victories.

In the final of the 2017 AI RYUSEI final held in Akihabara, Japan on December 10th, the upgraded version of “Fair Art” successively defeated MayoiGo, Raynz, and AQ with smooth performance, and met old opponent DeepZenGo in the final with ease. Winning. The well-known chess player's sword is silent (and even laughs) and even commented that "Farewell can make Zen two sons."

After entering the year 2018, starting from the 9th of this month, equipped with the most powerful public version of the “Extraordinary Arts” (wild fox platform account number is “Absolute Arts Guide A”), we began to let the second son (Black Post 6 head and a half) play against professional players. The trip. Before the game against Ke Jie, in fact, "Wu Yi" has played against professional players for 31 games 27 wins and 4 losses. Playing two games with Ke Jie and Lian Lian is even more important for the significance of this round of duel.

Lei Fengnet learned that Tencent AI Lab made the following response to the issue of the second son in the game of AI:

There is a problem of Winning Concession in Al Go Go. The reason is that AI aims to win the game. If the win rate is too high, where to win, it won't necessarily win the most.

And letting chess is the other extreme case where the winning percentage is too low. Taking the version of the Satisfying Challenge in Hainan as an example, this is a separate version of AI. If it is required to start the game with 2 children, the initial winning percentage is 7%. (Let the 3 children have an initial winning percentage of 1%, and let 4 children have an initial winning percentage of 0.1%). And the stronger the version, the lower the initial winning rate when playing the game (because the AI ​​will assume the opponent is the same).

If the initial winning percentage is too low, the AI ​​will not be able to play its real strength. This is why the excelling artist has not allowed the two players to win. We recently tried to optimize the algorithm to solve the negative impact caused by the low winning rate and strive for a better performance in the future.

According to Tencent's AI Lab's public news, the “Fair Art Challenge” version of the game played with professional players such as Ke Jie, referenced the AlphaGo Zero paper published in October 2017, and made improvements in practice; The 40 block dual-resnet model, based on the old version of “Extraordinary Art”, is based on reinforcement learning. It has played millions of chess games and has accelerated the training by combining reinforcement learning and supervised learning in a limited amount of resources and time. Improve the power of chess.

In order to understand the technical details behind the soaring development of the “Absolute Arts”, the Lei Feng Network AI Technology Review specifically interviewed members of the “Extraordinary Arts” team.

AI Technology Review: This time, the "Fair Art" achieved good results in the game against professional players such as Ke Jie and Lian Xiao. Does Ke Jie and other professional chess players participate in the development of "Extraordinary Arts"? What role did they play in the growth of "unusual art"?

A: Ke Jie did not participate in the development of exquisite arts, but Ke Jie and other dozens of professional chess players can use the unique arts beta website. "Extraordinary art" also plays against Tencent's wild fo go chess players, so many players have witnessed the entire game together. The growth process of "Extraordinary Arts".

Luo Xihe Jiudan is a technical advisor of the exquisite arts and gives guidance to the ex-art team on the go-go technique.

AI Technology Review: Through your news, this version of the technology is mainly referenced in the October 2017 Deepmind article on AlphaGo Zero. How do you rate the content of this article? In specific practices, what have you done to improve?

A: AlphaGo Zero is a very shocking research result. Apart from letting the Go level reach a new level, it does not depend on human knowledge, so that the zero algorithm has a higher promotion value.

Absolutely learned Zero's dual-resnet model, and has a more efficient reinforcement learning algorithm than the old version. Because exquisite artists continue to participate in competitions and exercises, such as the “Fair Art Challenge” of Tencent Chess Card in December 2017, we did not choose to start from “zero”, but rather to reinforce learning based on the old version of exquisite art. This can significantly reduce training time and complete with limited resources and time. We are currently developing a zero-based version.

AI Technology Review: Compared to the "according to expectations" at the end of November and the "unique skills" in mid-December, what aspects of the challenge competition's "unique skills" have improved? How much time does it take to develop this version of "Extraordinary Arts"?

A: The main differences between the three versions of Juyi’s recent public appearance:

November 2017 meets expectations: 20 block dual-resnet, self-played with hundreds of thousands of chess games

December 2017 Japan AI Dragon Star Wars: 20 block dual-resnet, self-match for millions of games

December 2017 Sanya Exciting Challenge: 40 block dual-resnet, self-match for millions of games

Starting in late October, it took more than one month to complete the development of the above three versions.

AI Technology Review: "Wuyi" has defeated some of the long-established computer gossines in the world in many competitions. What advantages and disadvantages does "Fair Art" have compared to computer Go, such as DeepZenGo? (eg technologies, ideas, teams, etc.)

A: It is very difficult for us to simply compare "Quality Arts" with other Go AIs. If we review the progress of "Extraordinary Arts" from R&D to growth, we must always communicate and discuss closely with the professional and amateur players on Ke Jie, Coulee and Tencent Go. .

AI Technology Review: The "Fine Arts" team has been working on the development of "Extraordinary Arts" for a long time. What is your position on "Extraordinary Arts"? Now exquisite art has reached the goal of allowing the two sons to compete with human professionals. What is the significance of redevelopment?

A: We believe that "exclusive art" has its specific meaning in research, application and social value.

The history of Go AI research has been long-standing, and the relevant algorithms have also been continuously updated. "Far Art" covers the most popular research areas of artificial intelligence - deep learning and reinforcement learning. We have benefited from continuous research and development.

In terms of application value, Tencent's Wild Fox Go is one of the largest and most active Go platform in China. “Extra Arts” has already developed functions such as guiding chess and chess tournaments, and is also deeply loved and concerned by chess fans.

In the social sense, Go is a nationalist movement. “Extraordinary Art” is Tencent's promotion of cutting-edge science and technology. It is a representative of the culture of state-of-the-art technology. We see every advancement of AI, not only tap the potential and boundary of Go, but also demonstrate human wisdom. And progress. This is also AI Lab's expectation of exquisite art – hopefully it can interact with human players actively, thereby inspiring more attention and passing on Chinese traditional culture of Go. This is our sense of science and technology responsibility.

AI Science and Technology Review: The overall framework in the UEC World Cup competition in March last year followed the article published by AlphaGo in January 2017; this time it was mainly based on the October 2017 AlphaGo Zero article. Deepmind is no longer continuing to develop AlphaGo. So how do you plan to further develop the performance of ex-art?

A: Extremists will continue to develop. In addition to constantly improving their chess ability, we will also study and solve some interesting issues. For example, the current AI aims to win. If the winning percentage is too high, it may give way. It may not necessarily choose the best method. .

Tencent will continue to increase its research and investment in AI, build world-class Go AI capabilities and promotion, and advance research and application of advanced AI technology such as deep learning on AI.

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