OpenAI's Dota 2 bots trounce semi-pro players

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OpenAI's Dota 2 bots trounce semi-pro players

They rallied in the second game where they managed to take down at least one tower, before moving on to the third game where the human players managed to cinch a win.

OpenAI showed off how good it's bots are but the firm's real test will come later this month when the bots face the greatest Dota 2 players in the world at The International 8. Using a massively scaled-up version of "Proximal Policy Optimization", which is a training system designed for OpenAI's successful 1v1 Dota 2 bot. OpenAI Five plays the game for a whopping 180 years every single day thanks to 256 GPUs and 128,000 CPU cores in the Google Compute Cloud.

OpenAI bots played a match (with some significant alterations) against current pro player David "MoonMeander" Tan, former pros Ben "Merlini" Wu, William "Blitz" Lee and Ioannis "Fogged" Lucas and caster Austin "Capitalist" Walsh.

The artificial intelligence team has beaten the team of professionals by 2-1 in a set of three games.

Dota 2 is available now for PC, Mac, and Linux.

The Verge goes on to report that one of the things that was particularly impressive in the match-up from the AI perspective is its "inhuman" lack of indecision.

The bots have been developed by OpenAI, which is a non-profit organisation founded by SpaceX founder Elon Musk, and Sam Altman. Through such reinforcement learning, the clutch of networks cooperate with each other, build "team spirit' and take down its in-game opponents".

OpenAI Five will take on an active professional team during the worldwide main event in August 2018.

OpenAI Five's latest win against its most formidable adversaries yet ultimately demonstrates the vast progress the bots have made over the past few months. The match even opened with a declariton from OpenAI, "We estimate the probability of winning to be above 95%".

"It's hard to know what kind of progress you're making if you're just making progress in simulators", Jack Clark, who works at OpenAI, said in an interview with Axios.

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