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The Deepmind Atari Player is only 22KB of source code: https://sites.google.com/a/deepmind.com/dqn/ https://sites.google.com/a/deepmind.com/dqn/ If you haven'
by paulsutter 11y ago
The Deepmind Atari Player is only 22KB of source code:
https://sites.google.com/a/deepmind.com/dqn/ https://sites.google.com/a/deepmind.com/dqn/
If you haven't seen the video it's remarkable:
https://m.youtube.com/watch?v=EfGD2qveGdQ https://m.youtube.com/watch?v=EfGD2qveGdQ
- BigJono 11y agoWhen he says "the algorithm is given just the pixels", does that mean it's not given any information about the game itself, like the objective? How does it know how to measure it's own success?
- rahimnathwani 11y agoThis paper[0] says "In addition it receives a reward rt representing the change in game score." [0] https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf
- slpsys 11y agoThere is an objective, but it may not be exactly as you reason about it. There's a great video that made the rounds last year about building a neural net that plays Super Mario World, that may help visualize what's going on - https://www.youtube.com/watch?v=qv6UVOQ0F44 https://www.youtube.com/watch?v=qv6UVOQ0F44 There's also a great snippet in the currently-ongoing AlphaGo videos that explains that when AlphaGo plays in ways that you may not expect, it's because it's strictly worried about _winning_ (even by the slimmest margin) with the greatest probability, and not necessarily by winning handily, like a human might.
- qwertyuiop924 11y agoYeah, I love sethbling. And the lua for MarI/O is only one file, and a relatively small one at that.