Google DeepMind AI learns to play 'Montezuma's Revenge'

Google DeepMind AI learns to play 'Montezuma's Revenge'

Again in 2015, Google-owned firm DeepMind gave its AI entry to a collection of Atari 2600 video games, forty nine of which it discovered to play its personal. One specific title was a bit too difficult for the method it used, although: Montezuma’s Revenge. Now, the group has found out the way to make it “curious” sufficient to need to win the sport. They programmed synthetic curiosity into the AI by giving it rewards for exploring extra of the platformer’s world. The model of the AI programmed with synthetic curiosity managed to discover 15 rooms out of 24 and to beat the primary room in solely 4 tries. An older mannequin that did not have incentive to play the sport extra solely explored two rooms.

Within the research they revealed, the workforce wrote that adopting a constructed-in rewards system “considerably improved exploration in a lot of exhausting video games, together with the infamously troublesome Montezuma’s Revenge.” Okay, you won’t discover it “infamously troublesome,” nevertheless it’s robust for an AI to plan for the traps (and the platformer has a lot) that lie forward.

You’ll be able to learn the workforce’s paper if you wish to know extra concerning the method, however the video under can present you ways the AI tackled the sport. DeepMind, when you’ll recall, can also be behind AlphaGo, this system that bested Korean Go grandmaster Lee Sedol in 4 video games out of 5.

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