What is the difference between reinforcement learning and supervised learning?
a) Reinforcement learning uses labeled data, while supervised learning uses trial and error
b) Reinforcement learning uses trial and error, while supervised learning uses labeled data
c) Both methods use labeled data
d) Both methods involve trial and error
Answer:
b) Reinforcement learning uses trial and error, while supervised learning uses labeled data
Explanation:
Reinforcement learning is based on trial and error with feedback through rewards, while supervised learning uses labeled data to train a model.
Reference:
Reinforcement Learning (RL) Quiz – MCQ Questions and Answers