[NetEase Smart News, August 12] With OpenAI conquering Dota2's top human player, now, after sweeping human chess masters and Go masters, artificial intelligence is now defying the global e-sports game Dota2. Start worrying about starcraft.
Recently, Alphabet’s artificial intelligence subsidiary DeepMind and the game company Blizzard燛ntertainment launched a series of system tools designed to allow programmers to better apply various artificial intelligence algorithms in StarCraft games. But how do you want to explore how humans and artificial intelligence systems work together in harmony? In the future, it may be necessary for man-machines to conduct more coordination in the interstellar hegemony to jointly kill more Zerg (Zerg).
It is reported that this game is more challenging than most games handled by AI programs so far. StarCraft is not only extremely complex, but also needs to be planned in advance and attempts to speculate on the opponent’s intentions. This means that artificial intelligence programs that rival humans will be developed, which will help researchers use machines to explore new areas of human intelligence. According to relevant sources, there is another potential benefit of these tools, which is to explore new ways of cooperation between humans and artificial intelligence.
"There are many reasons why Starcraft has tens of millions of fans," said Oriol燰inyals, chief researcher at DeepMind. "For example, players usually only see the opponent's activities, which means that the algorithm needs to develop better ways of memorizing information. Here, memory is crucial. What you see now is not what you saw before." Something that happened a few seconds ago may allow you to take completely different actions."
As we all know, DeepMind has gained worldwide reputation for developing artificial intelligence programs for various super-powered games. The company beat Atari's various games from the beginning and recently began to engage in extremely complex and abstract board games. In order to master these games better, DeepMind's researchers have enhanced learning, a machine-learning technique that allows computers to learn on their own without explicit instructions. It is reported that intensive learning has been inspired by animal learning methods, and positive feedback has been obtained through repeated experiments to adjust and improve the next step. However, Vinyals said that there are still many difficulties that need to be solved to apply reinforcement learning to Starcraft, because each game takes a long time to practice.
The tools developed by DeepMind and 燘lizzard will make it easier for AI researchers to deploy and test machine learning algorithms in StarCraft. These tools provide the artificial intelligence ontology with the same game screens and interfaces as human players, and these tools can also limit the speed at which programs execute actions. This ensures that a program must rely on the same intellectual tools as people.
StarCraft has been a research platform for some time, but its development is still more difficult. Vinyals is a professional StarCraft player and a student at the University of California, Berkeley. He designed groundbreaking automated programs for StarCraft. The team of Facebook and Chinese company Alibaba also released the research results of StarCraft. DeepMind has also published a paper at an important machine learning conference recently that shows how existing algorithms perform in games.
However, if you want to play a game like Starcraft, you may need different attempts. Other researchers have found that using some game theory methods can achieve good results in some "incomplete information" games. Earlier this year, Professor Tuomas of Carnegie Mellon University destroyed andholm and his student Noam燘rown built a program called Libratus. The program defeated multiple professional players in a single or double match for the no-limit hold'em poker game. Throughout the game, Libratus used a very sophisticated algorithm to calculate the best strategy. Coincidentally, Brown has been internship at DeepMind this summer.
Blizzard’s chief engineer, Jacob燫epp, said that his company explores how to make the game more interesting by observing the competition or cooperation between complex artificial intelligence agents and players. The company has now been able to create a body that follows game script commands. Repp mentioned that these subjects are also very interesting in using machine learning to some extent. He said that the company is also developing such ideas. "We have found that these tools are very useful in game production and game design."
It is reported that in StarCraft, players can choose from one of three races to participate in the battle: humans from the Earth, the mysterious and powerful Protoss and Alien Worm. The battle involved complex strategic operations such as the extraction of resources and the construction of bases, as well as the long series of fighting. StarCraft is also one of the most popular e-sports events. Especially in South Korea, competitions are usually held in large stadiums. Live broadcasts are broadcast throughout the audience and the audience is worth hundreds of millions. Learning that AI is challenging humans, StarCraft players welcome the "provocation" of AI, but DeepMind has yet to disclose when this plan will be implemented.
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