How to get better at video games, according to babies - Brian Christian
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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.
Additional Resources for you to Explore
For a closer look at the AI research discussed in this lesson, see this paper for more about DQN and Atari, this paper for the use of intrinsic motivation to play Montezuma's Revenge, and this paper this paper for a discussion of how a tv screen can pose a distraction to curiosity-driven AI agents.
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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