Actions might effect not only the current reward, but also the next scenario and, via that, all subsequent rewards, in the most intriguing and complex circumstances. The two most essential distinguishing elements of reinforcement learning are trial-and-error searching and delayed rewards.
Reinforcement can be used to teach new abilities, replace an interfering behaviour with a replacement behaviour, promote suitable behaviours, or increase on-task behaviour (AFIRM Team, 2015). Reinforcement may appear to be a straightforward method that many teachers employ, but it is frequently underutilised.
Learner's Ratings
4.3
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Reviews
J
Jagannath Mahato
5
Hello Kushal Sir!
Your way of teaching is very good. I thank you from my heart ❤️ that you are providing such good content for free.
M
Muhammad Qasim
5
Hi Kushal ! Your way of teaching is extremely helpful and you are one of the best teacher in the world.
Extremely helpful and I recommend to my peer as well for this course.
S
Shafi Akhtar
5
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A
Aniket Kumar prasad
5
Very helpful and easy to understand all the concepts, best teacher for learning ML.
R
Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
V
VIKAS CHOUBEY
5
very nicely explained
V
Vrushali Kandesar
5
Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
M
Mohd Mushraf
5
Amazing Teaching
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Juboraj Juboraj
5
Easy to understand & explain details.
J
Joydeb
5
Awesome Course sir and your teaching style is very GOOD.
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