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And it wasn't even close.
A month and a half ago, OpenAI showed off the latest iteration of its Dota 2 bots, which had matured to the point of playing and winning a full five-on-five game against human opponents. Those artificial intelligence agents learned everything by themselves, exploring and experimenting on the complex Dota playing field at a learning rate of 180 years per day. [...] the so-called OpenAI Five truly earned their credibility by defeating a team of four pro players and one Dota 2 commentator in a best-of-three series of games.
There were a few conditions to make the game manageable for the AI, such as a narrower pool of 18 Dota heroes to choose from (instead of the full 100+) and item delivery couriers that are invincible. But those simplifications did little to detract from just how impressive an achievement today's win was.
[...] play-by-play commentator Austin "Capitalist" Walsh sums up the despondency felt by Team Human after the bout neatly:
Never felt more useless in my life but we're having fun at least so I think we're winning in spirit.
Sure aren't winning in-game
— Cap (@DotACapitalist) August 5, 2018
Source: https://www.theverge.com/2018/8/6/17655086/dota2-openai-bots-professional-gaming-ai
Dota 2 is a sequel to Defense of the Ancients (DotA).
Previously: OpenAI Bot Bursts Into the Ring, Humiliates Top Dota 2 Pro Gamer in 'Scary' One-on-One Bout
OpenAI to Face Off Against Top Dota 2 Players in 5v5 Match-ups
(Score: 3, Interesting) by Gaaark on Friday August 10 2018, @12:05AM (1 child)
I imagine it would it be kind of like asking a chess champion to play a game where he can only move his pawns?
The AI might play a better game just because it's learned to play that way, while the champ would have to relearn how to play restricted chess.
--- Please remind me if I haven't been civil to you: I'm channeling MDC. ---Gaaark 2.0 ---
(Score: 2) by darkfeline on Friday August 10 2018, @06:19PM
That's what they always say. It was only a few years between an AI (pre-machine learning advances) beating a Go player with a significant handicap to beating a low dan Go player evenly, then a few month to beating the best human player. Especially with machine learning, AI has been shown to improve faster and faster.
Today the AI beats former pros at a limited version of the game, next year they'll beat everyone.
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