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

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  • Опубліковано 26 вер 2024

КОМЕНТАРІ • 9

  • @edupignatelli
    @edupignatelli 2 роки тому +6

    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 4 місяці тому

    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 роки тому +4

    Great vid, very approachable. Thanks!

  • @young-jinahn6971
    @young-jinahn6971 3 місяці тому

    Easy to understand! Thank you

  • @martinsosmucnieks8515
    @martinsosmucnieks8515 3 роки тому +1

    But very great vid!!!

  • @martinsosmucnieks8515
    @martinsosmucnieks8515 3 роки тому +2

    Why Mu?

    • @jeshweedleon3960
      @jeshweedleon3960 2 роки тому +3

      pretty sure “mu” is japanese for “emptiness” or “absence”, referring to the fact that muzero isn’t given hardcoded rules.

    • @themanwhoknewtoomuch6667
      @themanwhoknewtoomuch6667 2 роки тому +1

      @@jeshweedleon3960 Hoftstadterish. Computer Scientist sure has a siccc sense of humor and cool artistic taste!

  • @ablues15
    @ablues15 Місяць тому

    Good content, terrible recording.
    Bad audio, bad video, missing audio.