Hands-On Exploratory Data Analysis with Python

Difference between supervised and reinforcement learning

A supervised learning algorithm is used when we have a labeled training dataset. Reinforcement learning is used in a scenario where an agent interacts with an environment to observe a basic behavior and change its state to maximize its rewards or goal.

Other differences between them have been given in the following table:

Criteria	Supervised Learning	Reinforcement Learning
Example	Digit recognition.	Chess game.
Works on	Given labeled dataset.	Interacting with the given environment.
Decision	A decision is made on the input given at the beginning.	Here, the algorithm helps make a decision linearly.

One of the essential features of RL is that the ...