Bellman Equation Advanced for Reinforcement Learning

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  • เผยแพร่เมื่อ 3 ธ.ค. 2024

ความคิดเห็น • 35

  • @atharvagundawar6101
    @atharvagundawar6101 8 หลายเดือนก่อน +1

    One of the most underated video on MDP I have seen

  • @hrokling
    @hrokling 5 ปีที่แล้ว +19

    Best intro ever for an ML video!

  • @刘子豪-j6k
    @刘子豪-j6k 3 ปีที่แล้ว +7

    The most vivid explanation of Bellman equation I have watched!

  • @therealaverma
    @therealaverma 6 ปีที่แล้ว +17

    fantastic
    had fun and laughed while learning

  • @alinelermer6664
    @alinelermer6664 3 ปีที่แล้ว

    My Prof explained that to us but guess why I'm here today? :) Thank you. Now I got it!

  • @MatallicA_one
    @MatallicA_one 5 ปีที่แล้ว +2

    You are a Deep learning reinforcement Wizard! Thank you for the dope videos!

  • @kareemelzaidy925
    @kareemelzaidy925 4 ปีที่แล้ว

    You really should go for teaching career. I didn't understood bellman equation from a paid course and you made very simple to me

  • @tiktokolosh
    @tiktokolosh 4 ปีที่แล้ว +6

    "The past doesn't matter baby!"

  • @thenoteBooktalkshow
    @thenoteBooktalkshow 3 ปีที่แล้ว

    100/100 the way you explaining , thank you sir.

  • @sarkiskaralian1765
    @sarkiskaralian1765 4 ปีที่แล้ว +3

    Dude you are very good at explaining. 👍

  • @mikeyu533
    @mikeyu533 7 หลายเดือนก่อน

    dude thank you your videos are awesome

  • @jvanrs4928
    @jvanrs4928 3 ปีที่แล้ว

    No BS explanation, good work

  • @walt7868
    @walt7868 4 ปีที่แล้ว +2

    Make more man! :D this is great

  • @TheTenorChannel
    @TheTenorChannel 2 ปีที่แล้ว

    you're a crack, i love it! cool video!!!

  • @mikemallon9541
    @mikemallon9541 3 ปีที่แล้ว

    super informative and hilarious!

  • @teddychen0606
    @teddychen0606 7 หลายเดือนก่อน

    The past doesn’t matter baby!!!!!

  • @silversena
    @silversena 3 ปีที่แล้ว

    The most cinematic ML video I have ever seen!! 😂

  • @kaizhang5796
    @kaizhang5796 4 ปีที่แล้ว

    I think eq. on 3:06 is wrong. seems that u assume state S, when taking action a, has a probability to go to different other states S'. However, it is the action a that is stochastic, but not the transition from S to S' when taking action a.

  • @shahbazh2530
    @shahbazh2530 5 ปีที่แล้ว

    great help man!

  • @darklaboratory1697
    @darklaboratory1697 4 ปีที่แล้ว

    this is so funny!! i loved it

  • @mrknarf4438
    @mrknarf4438 4 ปีที่แล้ว

    Loved that intro lol

  • @pavaniddalagi
    @pavaniddalagi 2 ปีที่แล้ว

    subscribed :)

  • @husseinsrour2058
    @husseinsrour2058 6 ปีที่แล้ว

    Thank you sir

  • @anilkurkcu3389
    @anilkurkcu3389 6 ปีที่แล้ว +1

    Hey Colin, regarding P(s,a,s'), does the name of the problem change when we know these probabilities ( as in the video) vs. the case in which we have no idea about the transition probabilities?

  • @g0nt4
    @g0nt4 3 ปีที่แล้ว

    the past doesn't matter baby!

  • @sujathaontheweb3740
    @sujathaontheweb3740 2 ปีที่แล้ว

    You're so funny! 🤓

  • @Akshay-cy9tu
    @Akshay-cy9tu 5 ปีที่แล้ว

    That was great sir 😂😂😂

  • @dannyoosthoek1388
    @dannyoosthoek1388 4 ปีที่แล้ว

    I am trying to understand this stuff nowadays, this video is super helpfull, however i need some clarification on this one en.wikipedia.org/wiki/List_of_mathematical_symbols says that ∑ is sum, not sigma. the symbol for sigma is σ here. Is there a mistake made or is the wiki incomplete?

    • @Pengi31
      @Pengi31 4 ปีที่แล้ว +1

      ∑ is upper case sigma, σ is lower case sigma. Upper case sigma ∑ is used in mathematics as symbol for sum over some set or range of values. Wiki just doesn't mention that the sum symbol is called sigma.

    • @dannyoosthoek1388
      @dannyoosthoek1388 4 ปีที่แล้ว

      @@Pengi31 Thanks buddy, helps a lot :)

  • @connor-shorten
    @connor-shorten 5 ปีที่แล้ว

    Lmao markov meditation process

  • @qiuyangfu4666
    @qiuyangfu4666 3 ปีที่แล้ว

    thought I was watching rick n morty

  • @anantadutta7506
    @anantadutta7506 ปีที่แล้ว

    I got quickly hooked by the first video on bellman equation as it was simple, intelligent and lucid and immediately watched this one. Alas, quickly lost interest on this one as it starts with some lame gimmicks and I am no longer sure what to expect. You could have followed the simple style of the first one and got another million views..Will look for other material. Thanks