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A.I. LEARNS to Play Blackjack

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#artificialintelligence #machinelearning #simulation

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There is a well known story about a team of students from MIT that managed to beat the casino playing blackjack and earn millions as a result. They even made a movie about them called 21.

“If a bunch of college students can do it, then it will be a piece of cake for my AI army”

And so my journey to build an AI that learns to play Blackjack begins

Follow my projects
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Twitter: https://twitter.com/MrSailor23
Instagram: https://www.instagram.com/giorgos.demo/

About the Channel
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Artificial Intelligence is fun. On this channel, we train AIs to answer everyday questions and upload the simulations online. The questions come directly from our community,so if you have something that needs answering through Artificial Intelligence entities, then here’s the channel to be 🙂

P.S. This is also an investment for when our future AI overlords take over.

~ Giorgos Demosthenous

Resources:
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– Counting Cards Using Machine Learning (camera): https://www.youtube.com/watch?v=Nf3zBJ2cDAs

– How to play Blackjack: https://bicyclecards.com/how-to-play/blackjack/

– How to Play (and Win) at Blackjack: The Expert’s Guide https://www.youtube.com/watch?v=PljDuynF-j0

– How to Count Cards (and Bring Down the House) https://www.youtube.com/watch?v=SHK2C-QQR-k

– Odds of winning
https://www.quora.com/Using-basic-strategy-what-are-the-odds-of-winning-blackjack-10-times-in-a-row
https://wizardofodds.com/ask-the-wizard/blackjack/probability/

– MIT: Blackjack team:
https://en.wikipedia.org/wiki/MIT_Blackjack_Team
https://www.bbc.com/news/magazine-27519748

Music:
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Le Jazz Café by Flero @flero_official
Music provided by Free Music for Vlogs youtu.be/Yzr_Qd31Jbc

Soul by LiQWYD @liqwyd
Music provided by Free Music for Vlogs youtu.be/CD51G_5u4ts

Source: YouTube

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A.I. LEARNS to Play Blackjack

7 thoughts on “A.I. LEARNS to Play Blackjack”

  1. Δεν αντέχω το πόσο έξυπνος είσαι 🙈 keep up 💪🏻💪🏻

  3. This is an interesting video, but the point of counting cards is not to know whether to hit or not, it's to adjust the size of your bets. You beat the house by betting more when the deck is in your favor and less when it is not. Doing that would make an interesting follow up!

  6. So the last test was not even using artificial learning? That's so strange it is doing better. Maybe 100k plays isn't enough? Although it does start to settle at 100k… Hmm

  7. I think the fix bet is the point where your AI go wrong.
    Card counter player change their bet very often when the counting move.
    I think the AI should be allow to change their bet as well.
    So i think you can try with 1 extra step where you input the counting value and get the bet value before playing.
    The map should be like:
    Counting –first layer–> Bet size –> player hand + dealer hand –Second layer–> hit/stand/split/….
    Also i think we should not let AI learn in every game because gambling didn't give us all clear information like chess. In this game, it's like we are trying to predict future and it's not a clear Yes/No answer. We can let it play like 1000 games each ground to gather enough data before reinforcement itself.
    .
    Personally i am trying to build an AI, which keep record of every single card that was deal, to see if it's any better.

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