Комментарии:
U r a genious
ОтветитьA godsend. This is saving me in my CS Discrete Math class, thank you so much!
ОтветитьHow to do the heuristic estimation? Isn't that the key? Extremely shock can't find explain how to get the heuristic estimation while no one mention that. Am I missing something?
ОтветитьIf at some point you get a node having better A* score and the node was already visited (but has inferior A* score than the most recent one), do you replace the old visited node with the current new one?
ОтветитьA question is why the visited nodes don't need to be visited again, I think it may skip the node of the optimal path...
ОтветитьWhy are you gay?
ОтветитьThis is an excellent presentation, thank you very much. I am tempted to code it up. A question: if the graph nodes are on an xy grid, should the heuristic actually be the real word Pythagorian distance, or the distance along allowed paths?
ОтветитьThis is important content. A related book I read was also significant. "Game Theory and the Pursuit of Algorithmic Fairness" by Jack Frostwell
Ответить19.09 minute, In G2 (13) already goal has been found. then why we need to do F(21)?
ОтветитьYou said that if we encountered a visited node, we can ignore it if it has the higher A* score than the previous. What about when it has lower A* score? Are we supposed to draw that node again on the tree with the lower score?
ОтветитьA* is beautiful
ОтветитьGreat explanation, it really helped me. Just one thing, in case of a tie, why don't take the node with the lowest heuristic value instead of solving it alphabetically?
ОтветитьThank you so much
ОтветитьThank you for providing free educational content of such high quality! The world needs more lecturers like yourself
ОтветитьHello Sir,
It was very helpful.
Want to confirm if the path cost will be f(n) for the goal node?
Thank you
wao
ОтветитьPlease cover all topics of AI.
ОтветитьWhere do we get the heuristics from?
ОтветитьGreat 😍😍😍 thank you
Ответить@johnLevine Kindly share assessment problem as well with accurate heuristics.
ОтветитьThank you!!
ОтветитьWATCHING FROM PKMKB
ОтветитьAmazing!!
ОтветитьThanks John. This video is a lifesaver.
BTW, I've a question. Say I want to drive to the nearest city, and he wants to choose between 3 cities on a map (i.e. 3 goals states/nodes). So does this mean I have to calculate the A* score of each goal state, and then choose the smallest one? Thanks!
Think you sir but where is limited search?
Ответить7 years later, this is still best video available
ОтветитьThank you very much for these efforts, greetings from Libya
ОтветитьThank you. I want to know why considering only one path as the goal state. I have a burning assignment.
ОтветитьThis is well explained thank you sir better explained than my prescribed textbook
ОтветитьPlease anyone tell
Which algorithms is complete and optimal?
1. DFS,
2.BFS
3.A STAR
4.UCS
5.GREEDY
love u john levine u keep it real
ОтветитьGod level explanation of the concept!!!
Ответитьhe has good whiteboard technique
Ответитьamazing job sir!!!
Ответитьthis is the best video for A* algorithm
Ответитьa correction, the C node at the bottom left should have its cost as 9 and not 13
ОтветитьSir, I request you to make another video on the state-of-the-art bidirectional heuristic search BAE*.
Ответитьcalm,simple and interestig video..........
i liked it Thanks alot
Calm repetition of important facts/concepts is what makes this so helpful. It's like my Latin teacher always said: Repetitio est mater studiorum.
ОтветитьStill the best video available on A* search!
ОтветитьMan's making me wanna take an away semester here :O
ОтветитьYou are the best
ОтветитьThank you sir , for the good work
ОтветитьI love you bro! You are on my goat list!
Ответить7 years later, this is still best video available
ОтветитьAre the heuristics always given?
Ответить