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Professional players are set to compete against one another at the World Championship in Vancouver in August for a prize fund of more than $15,502,000 (£11,688,836).
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The full title, developed by Valve, involves a 'capture the flag' style objective, where teams of five players battle each other in an attempt to take down a building called an 'ancient' found inside their respective bases.Įach of the 10 players independently controls an avatar known as a ‘hero’, who boasts a set of unique powers and different styles of gameplay.ĭuring each 45-minute match, players must collect experience points and items to level-up their abilities.ĭota 2 is an online multiplayer game that involves 'capture the flag' type missions. Vastly more complex than traditional board games like chess & Go,’ he tweeted following the news.
'OpenAI first ever to defeat world's best players in competitive eSports. OpenAI co-founder Elon Musk, who stepped down from the board in February but continues to advise and donate money to the company, took to social media to celebrate the AI's victory. Last year, OpenAI trained a single AI player to defeat the world champion during a curated snippet of the game.
However, this achievement pales in comparison to the 20,000 possible moves available to the artificial intelligence bots trained by OpenAI during a 45-minute match in multiplayer video game Dota 2 (Defence of the Ancients 2). The latter was long-considered one of the most difficult games for a machine to master, given the number of possible moves players can make at any given time. Google DeepMind, the Alphabet-owned AI research company, defeated human players at the ancient board game Go in January 2016. With all that computing grunt, the Dota 2 bots learned from the equivalent of 180 years of continuous gameplay for every 24 hour period it trained. However, by learning from past behaviours that resulted in a victory in Dota 2, the machine is able to slowly learn the skills needed to play.īy employing a huge stack of 256 graphics processing units (GPUs) with some 128,000 processing cores, OpenAI was able to dramatically increase the AI’s ability to learn.
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The San Francisco-based company also invests a lot of resources into a form of AI known as reinforcement learning, where a bot is given free rein to make its own choices, only to be told later if those choices resulted in desirable or undesirable outcomes.Īt first, the AI behaviour is completely random. However, a new breed of ANNs called Adversarial Neural Networks pits the wits of two AI bots against each other, allowing them to learn from one another. This is the system employed by OpenAI. By learning from past behaviours that resulted in a victory within the rules of the video game, the machines were able to slowly learn the skills needed to play Dota 2
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