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DeepMind new goal: let YouTube learn video games by using AI video.

via:博客园     time:2018/6/8 15:05:27     readed:162

DeepMind, a Google sister based in London, has successfully developed new training methods to teach AI how to play video games. They no longer bother to provide all kinds of data, but just provide some YouTube videos for them. Taking the company's Alpha Go artificial intelligence as an example, the disadvantage of AI is that it does not like to explore new places or try new ways, only to run under very good rules and large amounts of data.

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But if you want artificial intelligence to play games like < pitfall="" /> or < montezumas="" revenge,="" it's="" hard="" for="" the="" machine="" to="" determine="" what="" it="" should="" do="" because="" both="" games="" need="" to="" be="" explored.="" and="" we="" humans="" have="" the="" ability="" to="" make="" all="" kinds="" of="" decisions,="" and="" in="" the="" course="" of="" playing="" a="" game,="" it's="" very="" easy="" to="" see="" how="" to="" play.="" according="" to="" the="" team's="" white="" paper,="" artificial="" intelligence="" may="" still="" be="" out="" of="" />

At present, artificial intelligence is trained mainly by the perfect specification of information data, and artificial intelligence can not be further developed without large amounts of data. And the new method of DeepMind, AI will photograph noisy images, and formatted themselves to generate the required data. If you show it a piece of human play or , it can separate and simulate human operation.

Video address:Https://v.youku.com/v_show/id_XMzY1MjExMTUxNg==.html

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