Counterfactual Regret Minimization (AGT 26)

This is by far the best explained CFR lesson. Thank you for doing this!

Amazing step by step example for CFR !!!

Beautifully articulated.

thanks a ton for this! great video.

More videos please! Great work, you make hard things easier to visualise. I hope you get back to making YouTube videos ❤

Hi, thank you do you have any pytorch application?

You are fucking awesome Bro 🙏

DS student here, trying to grasp DeepCFR, amazing video... just wanted to point out a thing... the "P(K|Qb)" you say that you use Bayes rule and you phrase it like "P(P1 would play bet when they have a king)/P(P1 would play bet overall)"... I might be mistaking, but i don't see how you are applying Bayes... instead, I got your same result using the definition of conditional probability P(a|b) = P(a,b)/P(b)... because I get "P(KQb)/P(Qb)", now Q and b/K are independent events, so "[P(Kb)P(Q)]/[P(Q)P(b)]"... from here, applying the definition of joint probability and total probability, I get your same final probability Apart from this, thank you so much