Games


A bot just defeated one of the world's best video gamers

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The AI win stunned the gaming community, because bots are generally considered inferior to expert human players. This one from Open AI -- a nonprofit artificial intelligence research firm known mainly for its backing by serial entrepreneur Elon Musk, of Tesla (TSLA) and SpaceX fame -- is a different story, and possibly a cautionary one. Open AI says its mission is to promote "responsible" AI development. Or, as Musk puts it, to ensure that AI doesn't grow unchecked and become the death of humanity. Musk said Saturday via Twitter that AI is "more [of a] risk than North Korea."


AI beats top 'Dota 2' players in one-on-one matches

Engadget

The Elon Musk-backed OpenAI team has developed a machine learning system that has beaten "many" of the best pro Dota 2 players in one-on-one matches, including star player Dendi during a live demonstration at The International. The result is an AI that not only has the fundamentals nailed down, but understands the nuances that take human players a long time to master. And it doesn't take too long to learn, either; OpenAI's creation can beat regular Dota 2 bots after an hour of learning, and beat the best humans after just two weeks. One-on-one matches are far less complex than standard five-on-five matches, and it's notable that the machine learning system doesn't use the full range of tactics you see from human rivals.


Elon Musk's Feelings About AI Are Complicated

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Artificial intelligence took a step forward last night, at an annual tournament for players of the tactical wargame Defense of the Ancients 2. A bot created by the Elon Musk-backed nonprofit OpenAI defeated champion human player Danylo "Dendi" Ishutin in two back to back demonstration matches. Musk hailed the achievement on Twitter, saying that it was a significant advance over what AI had accomplished in more traditional games. OpenAI first ever to defeat world's best players in competitive eSports. Vastly more complex than traditional board games like chess & Go. Defense of the Ancients 2 – commonly referred to as DOTA 2 – is what's known as a multiplayer online battle arena, or MOBA.


AI beats top 'Dota 2' players in one-on-one matches

#artificialintelligence

The result is an AI that not only has the fundamentals nailed down, but understands the nuances that take human players a long time to master. It's adept at tricks like zoning (preventing the enemy from hitting your creeps to deny them experience and gold) and raze faking (starting a raze animation to trick an enemy into dodging a non-existent attack). While its actions per minute aren't any better than that of an average flesh-and-bone player, the choices make a huge difference. And it doesn't take too long to learn, either; OpenAI's creation can beat regular Dota 2 bots after an hour of learning, and beat the best humans after just two weeks. Of course, these victories came about under controlled, ideal conditions.


'Dota 2' pro destroyed by AI player from an Elon Musk start-up

Mashable

Elon Musk, noted artificial intelligence worrywart, backs the tech firm behind a robot brain that was smart enough to take down a Dota 2 pro this week. The showdown took the form of an exhibition match staged on Friday at The International 2017, an annual esports tournament. SEE ALSO: Valve announced a game that's not'Half-Life 3' and the crowd's response says it all The AI raced its way to two dominant victories before the exhibition ended. It was supposed to be a best-of-five series, but Dendi didn't wait that long to admit defeat. "I'm giving up," he said with a faint smile before the final moments of the second match had fully played out.


Reinforcement learning for complex goals, using TensorFlow

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Attention readers: We invite you to access the corresponding Python code and iPython notebooks for this article on GitHub. Reinforcement learning (RL) is about training agents to complete tasks. We typically think of this as being able to accomplish some goal. Take, for example, a robot we might want to train to open a door. Reinforcement learning can be used as a framework for teaching the robot to open the door by allowing it to learn from trial and error.


The truth behind Facebook AI inventing a new language

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There have been so many articles published about Facebook shutting down its robots after they developed their own language. The media is just loving these clickbait titles. Some of these articles would let you believe that this was a very close call -- that scientists at Facebook barely shut down the AI before it could take over the world. Fortunately, there are still sane people out there, so there have been quite a few articles explaining why all of the doomsday talk is complete nonsense (like the ones published by Snopes or CNBC). Even some of the media that originally offered a very scandalous version of this event eventually edited the content to be less dramatic (like The Independent for example).


The world's best Dota 2 players just got destroyed by a killer AI from Elon Musk's startup

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Tonight during Valve's yearly Dota 2 tournament, a surprise segment introduced what could be the best new player in the world -- a bot from Elon Musk-backed startup OpenAI. Engineers from the nonprofit say the bot learned enough to beat Dota 2 pros in just two weeks of real-time learning, though in that training period they say it amassed "lifetimes" of experience, likely using a neural network judging by the company's prior efforts. Musk is hailing the achievement as the first time artificial intelligence has been able to beat pros in competitive e-sports. OpenAI first ever to defeat world's best players in competitive eSports. Vastly more complex than traditional board games like chess & Go.


[N] OpenAI bot beat best Dota 2 players in 1v1 at The International 2017 • r/MachineLearning

@machinelearnbot

Ok, I know a bit about dota (been playing it for 8 years now). I will try my best to put this into perspective. What: It beat players that many considered to be the absolute best at dota. The environment: 2 players move along a lane with the goal of destroying the other's defensive structure or killing the player 2 times for victory. Every 30 seconds weak npc minions enter the lane attack each other and players.


Google develops computer program capable of learning tasks independently

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Google scientists have developed the first computer program capable of learning a wide variety of tasks independently, in what has been hailed as a significant step towards true artificial intelligence. The same program, or "agent" as its creators call it, learnt to play 49 different retro computer games, and came up with its own strategies for winning. In the future, the same approach could be used to power self-driving cars, personal assistants in smartphones or conduct scientific research in fields from climate change to cosmology. The research was carried out by DeepMind, the British company bought by Google last year for £400m, whose stated aim is to build "smart machines". Demis Hassabis, the company's founder said: "This is the first significant rung of the ladder towards proving a general learning system can work.