To hone its collaborative skills, this AI is taking on the world's top video game players

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To hone its collaborative skills, this AI is taking on the world's top video game players
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Could you beat OpenAI Five? NationalVideoGamesDay🎮

Next week, scientists working on artificial intelligence and games will be watching the latest human-machine matchup. But instead of a single pensive player squaring off against a computer, a team of five top video game players will be furiously casting magic spells and lobbing fireballs at a team of bots calledat The International in Vancouver, Canada, an annual e-sports tournament that draws professional gamers who compete for millions of dollars.

In 1997, IBM's Deep Blue AI bested chess champion Garry Kasparov. In 2016, DeepMind's AlphaGo AI beat Lee Sedol, a world master, at the traditional Chinese board game Go. Computers have also defeated humans in checkers and some forms of poker. But fast-paced multiplayer video games pose a different kind of challenge, requiring computers to collaborate and manage unpredictability.

"The next big thing for AI is collaboration," says Jun Wang, a computer scientist at University College London who works on, another real-time strategy game. That requires"strategic reasoning, where it's understanding the incentives of others," says Jakob Foerster, a computer scientist at the University of Oxford in the United Kingdom, who also works on, released in 2013, has millions of players around the world.

On the face of it, OpenAI Five also appears to succeed at collaboration. The AI's five players were quite willing to be killed for the overall good of the team, which might confer an advantage over the human teams."The bot plays very sacrificially," Lee says. Humans are less likely to give up a player in order to win, he says."It's a very human concept to be greedier." But the AI relies on a kind of hive mind that may make coordination easier.

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