The bots defeated the humans, 2-1, talking plenty of smack along the way.
A team of ex-pro Dota 2 players and casters were soundly beaten by OpenAI's team of bots in a best-of-three exhibition match. In game two, the AI wasn't as confident, giving itself a 76 percent chance to win.
After winning the first two games comprehensively, the OpenAI allowed the audience to pick five human players to compete in the dead rubber match which it lost. 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.
Next, OpenAI's developers plan to take the bots to Valve's official worldwide tournament, where they'll compete against the best Dota 2 players in the world. This was a best-of-three against a team of 99.95th percentile Dota players: Blitz, Cap, Fogged, Merlini, and MoonMeander - four of whom had played Dota professionally - in front of a live audience and 100,000 concurrent livestream viewers. Playing against bots and one mistake could cause end of the match.
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As you might have heard, Elon Musk's OpenAI initiative had plans to play against some professional DotA 2 players in a bid to test how good AI can be at teamwork. Heroes in Dota 2 often interact in complex ways.
Through this reinforcement learning, the networks learn to cooperate with each other, build "team spirit" and take down in-game opponents. The firm has also been tweaking the neural networks, altering the bot team's in-game reaction time to near human levels, and helping it learn additional strategies.
That being said, it should be noted that on the OpenAI's website, they admitted that the game was not your standard DotA 2 game as there had to be certain modifications made to how the game was run. To recall, in June this year, OpenAI Five beat an amateur team.