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\nTED-Ed: How to get better at video games, according to babies | Brian Christian\n

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\n\nPublisher:\n\nTED-Ed\n\n\n
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\nIn 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....\nIn 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. [Directed by Gavin Edwards, Movult, narrated by Jack Cutmore-Scott, music by Salil Bhayani, cAMP Studio].\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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4:53
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Grade
Pre-K - Higher Ed
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Subjects
STEM
3 more...
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Media Type
Instructional Videos
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Source:
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\nTED-Ed\n\n
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Date
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2021
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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education, animation, computers, video games, artificial intelligence, babies
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ted-ed, brain, ai, machine learning, how to get better at video games, according to babies, atari, human intelligence, montezuma's revenge, gaming, reinforcement learning, atari game, playing montezuma, playing, game, rewards, model, predict, move, learning, rewarding, points, system, images, researchers, deepmind, sights, wanted, create, beat, revenge, score, made, solve, maximize, learn, buttons, press, environment
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Classroom Considerations

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Best For: Explaining a topic
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