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How to get better at video games, according to babies - Brian Christian

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TEDEd Animation

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In 2013, a group of researchers wanted to create an AI system that could beat every Atari game. They developed a system called Deep Q Networks (DQN) and less than two years later, it was superhuman. But there was one notable exception. When playing Montezuma’s Revenge, DQN couldn’t score a single point. What was it that made this game so vexingly difficult for AI? Brian Christian investigates.

Explain the difference between model-based and model-free approaches.

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About TED-Ed Animations

TED-Ed Animations feature the words and ideas of educators brought to life by professional animators. Are you an educator or animator interested in creating a TED-Ed Animation? Nominate yourself here »

Meet The Creators

  • Educator Brian Christian
  • Director Gavin Edwards
  • Narrator Jack Cutmore-Scott
  • Music Salil Bhayani, cAMP Studio
  • Sound Designer cAMP Studio, Amanda P.H. Bennett
  • Director of Production Gerta Xhelo
  • Editorial Director Alex Rosenthal
  • Producer Bethany Cutmore-Scott
  • Editorial Producer Dan Kwartler

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