Difference between reinforcement learning and supervised learning

0 votes
What is the difference between reinforcement learning and supervised learning? Pardon me if this seems like a stupid question. Thank you
May 9, 2019 in Machine Learning by Kanika
5,360 views

1 answer to this question.

0 votes

In reinforcement learning, the output depends on the state of current input and the output of the next state depends on the out of the previous output. 

Whereas in supervised learning, the decision made is based only on the current input. It uses labeled data sets to make decisions. 

In reinforcement learning the output is dependent and hence they are labeled sequentially. 

Whereas, in supervised learning, the outputs aren't dependent and hence it's not necessary to label them sequentially.

answered May 9, 2019 by Nipun

Related Questions In Machine Learning

0 votes
1 answer

What is difference between loss function and RMSE in Machine Learning?

The loss function is a function of ...READ MORE

answered Feb 23, 2022 in Machine Learning by Dev
• 6,000 points
1,103 views
0 votes
1 answer

Difference between Regression and classification in Machine Learning?

The goal of regression is to forecast ...READ MORE

answered Mar 4, 2022 in Machine Learning by Dev
• 6,000 points
184 views
0 votes
2 answers

What is supervised learning?

Supervised learning is the machine learning task ...READ MORE

answered Sep 3, 2019 in Data Analytics by anonymous
• 33,050 points
710 views
0 votes
1 answer
0 votes
1 answer
0 votes
1 answer
0 votes
1 answer

What is Reinforcement learning?

Alright, let me not get into the ...READ MORE

answered May 9, 2019 in Machine Learning by Alok
683 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP