Комментарии:
I love and appreciate this video thank you
ОтветитьI can hear ever morsel of liquid in your mouth. Good content, change your mic lol
ОтветитьI study computer science at the TU in Berlin Germany and had really big problems with this algorithm!
So ty a lot! You probably safed a few points for me!
wow this is an amazing explanation and really made be feel excited when I finally understood
ОтветитьSo good ❤
Ответитьour professor didn't told us it the Childs would be sorted and I was confused as hell. thanks man.
Ответитьwhy not settling for +1 or -1 and go for deeper search instead of pruning with - and + infinity? my bot plays like humans more like Alireza. if he finds a win he will prune everything. +1 or -1 based on the color is enough to give the bot personality. who cares about mate in 3
Ответитьvery helpful, saved me from 5 hours of lectures 🔥
Ответитьamazing video!
ОтветитьThanks a lot for this, super simple explanation!
ОтветитьNow calculate EVERY possible move in chess
ОтветитьGuys where are these numbers coming from😭
Ответитьshould have takedn the knight with queen
ОтветитьThis video is masterpiece! Thank you so much ~~
ОтветитьThis man wrapped up this concept in 11 mins whereas my university professor and his TA failed to do so miserably for over 2 weeks.
Our education system sucks. We need more qualified people in our institutes.
Thank you for your efforts @Sebastian Lague.
the best explanation bro, thanks from Bolivia
Ответитьvisual explanation with the code <3 thanks
ОтветитьIn engines, doing this recursively will cause a lot of overhead
Ответитьso clear,this is what call good education video,deep explain,yet damn easy grasp
ОтветитьBrother you are a life saver ❤
Ответитьfantastic
ОтветитьMy AI professor must watch this and learn how to teach.
Ответитьi have a question what exactly does alpha and beta mean/represent?
ОтветитьThank you so much, fantastic resource
ОтветитьFor me, this video has pruned hours of searching for how this algorithm works. Thank you so much for this nice and clear explanation!
Ответитьdepth <= 0
ОтветитьI love you so much, you don't have any idea this video how much helps me. Thank you so much again ❤️
Ответитьthank you
ОтветитьWow!!!
ОтветитьThank you so much for this. Many people explain minimax codes and alpha beta pruning, but none that I have seen actually gave some sort of coding example. Thank you for this. its amazing.
ОтветитьYou scratch the insides of my brain. Thank you.
Ответитьamazinggg!!! You explained better than my teacher at school
ОтветитьThank you for this video, it's been really helpful
Ответитьdu, det er jo bare ta litt vekk fra treet.
ОтветитьThis is a nice and intuitive explination. Thanks!
ОтветитьYou're mic is so good that makes me hear your tongue voices, I hate it. Therefore I will leave a dislike.
ОтветитьFor some ungodly reason, alpha-beta keeps reappearing in my university courses. This is the third year in a row that I'm referencing this video -- and it delivers every time.
ОтветитьI really enjoy the way you combine the code with the visualisation, it is so impressive!
ОтветитьThanks man, your explanation helped me a lot.
ОтветитьI now understand why my tic tac toe game chose an extra move, my algorithm wasn't pruning.
ОтветитьThis is one of the best explanations I've come across. I'm currently programming a Ruby chess game and this is invaluable. Thank you so much!
ОтветитьI finally got a simple tic tac toe minimax working after weeks 😭 this video was a huge help
Ответитьyou're a god man, thank you
ОтветитьIncredible...I listened to an hour long lecture without understanding it and all I needed was a 11min video.
ОтветитьAmazing content! Thank you :D
ОтветитьCan Alpha beta pruning have another path to the optimal state?
ОтветитьI had a hard time understanding: You say White is the Maximizing Player....but is White the player that goes first? I'm thinking that is important.
I tried to implement this and I'm having issues...maybe it's my score or how I'm checking for a win