From AlphaGo to MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

  Рет қаралды 9,513

Harvard CMSA

Harvard CMSA

Күн бұрын

Пікірлер: 9
@edupignatelli
@edupignatelli 2 жыл бұрын
Thore's explations are always as clear as he is explaining to a 5 years old child, and as respectful as he is speaking in a UN meeting at the same.
@JimSlattery
@JimSlattery 9 ай бұрын
26:10 this part really stuck with me. We see all the handcrafted expert logic in the Stockfish engine, and yet machine learning can achieve all of that and more in an automated way. This is amazing technology!
@DrTune
@DrTune 3 жыл бұрын
Great vid, very approachable. Thanks!
@young-jinahn6971
@young-jinahn6971 7 ай бұрын
Easy to understand! Thank you
@martinsosmucnieks8515
@martinsosmucnieks8515 3 жыл бұрын
But very great vid!!!
@martinsosmucnieks8515
@martinsosmucnieks8515 3 жыл бұрын
Why Mu?
@jeshweedleon3960
@jeshweedleon3960 2 жыл бұрын
pretty sure “mu” is japanese for “emptiness” or “absence”, referring to the fact that muzero isn’t given hardcoded rules.
@themanwhoknewtoomuch6667
@themanwhoknewtoomuch6667 2 жыл бұрын
@@jeshweedleon3960 Hoftstadterish. Computer Scientist sure has a siccc sense of humor and cool artistic taste!
@ablues15
@ablues15 5 ай бұрын
Good content, terrible recording. Bad audio, bad video, missing audio.
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