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.
What kind of problems can result from focusing on novelty-based rewards when researchers are programming AI to beat a game like Montezuma’s Revenge?
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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