Deepmind artificial intelligence @ FDOT14

Why HN readers recommended it

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

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel

Elizr

Topic

deep reinforcement learning

Format

demo

Level

general

HN recommenders in dataset

2

HN mentions in dataset

6

Recommendation years in dataset

2014–2016

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

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

• 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 …

• 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 …