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Deepmind artificial intelligence @ FDOT14

Elizr · 288K views · 2014-04-19 · 4:41

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Overview

A short smartphone-recorded clip from a 2014 event in Paris where DeepMind CEO Demis Hassabis presents an AI learning to play old Atari games. The system learns from only the video signal and the score. Audio quality is poor.

On Hacker News

HN commenters use it as the canonical demo of deep reinforcement learning, noting that watching it teaches more than an article does.

Recommended by 2 HN people across 3 months · HN mentions 2014–2016

Topics

Machine learning & deep learningGame programming & engines
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deepmindataridemis hassabisdqnreinforcement learning

What people said

paulsutter · 2016-03 · Strong recommendation

The Deepmind Atari Player is only 22KB of source code: [LINK] If you haven't seen the video it's remarkable: [VIDEO]

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paulsutter · 2015-10 · Recommendation

In psychology, this is called "Reinforcement"[1] and that goes back to Skinner (1938) and Thorndike (1911). In AI research its called "Reinforcement learning"[2]. One of the earliest papers relating reinforcement learning to AI was “Theory of Neural-Analog Reinforcement Systems”[3] by Minsky, 1954 A cool reinforcement learning demo is the DeepMind Atari video from last year[4] [1] [LINK] [2] [LINK] [3] [LINK] [4] [VIDEO] (this is awesome)

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mturmon · 2014-12 · Recommendation

Thanks for the correction. The "arbitrary" qualifier is not in TFA, but (as, indeed, you said) that's the point of the demo, e.g.: [VIDEO] Note that they're using just the video signal from the game as input. It's really a sad comment on the state of reporting at MIT Tech Review that you learn more about the tech from a youtube video than from an article. (My complaint is not with the DeepMind people, it's with the article, which should put the work in context.)

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Sources

Video by Elizr, played through YouTube.

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