p.p.s.: I also don't get why it needs to play millions of games ...
Deepmind released a couple of papers on their progress when it comes to
transfer learning an general intelligence. Having to play millions of
games tells us that the AI does not really understand the game itself
and is far away from any general intelligence ... right?
Am 27/01/2019 um 00:53 schrieb Shashank Yadav:
This is significant though in case anyone missed it on Reddit here is
/a Starcraft fan's /
<https://www.reddit.com/r/MachineLearning/comments/ak3v4i/d_an_analysis_on_how_alphastars_superhuman_speed/>/analysis./
<https://www.reddit.com/r/MachineLearning/comments/ak3v4i/d_an_analysis_on_how_alphastars_superhuman_speed/>
Will be interesting to know how people on this list view this.
-
regards,
*The task is not impossible.* <https://muskdeer.blogspot.com/>
---- On Sat, 26 Jan 2019 18:00:46 +0530 *justcamel
<[email protected] <mailto:[email protected]>>* wrote ----
Deepmind just beat a top level player in a game many times more
complex
than GO.
https://www.youtube.com/watch?v=cUTMhmVh1qs
I really hope that AGI is near ... and thus the end of our
socioeconomic
insanity ...
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