Reinforcement Learning

 Reinforcement Learning:

Reinforcement learning is a type of Machine learning that allows the learning system to observe the environment and learn the ideal behavior based on trying to maximize some notion of cumulative reward.

Features of  Reinforcement Learning:

• The learning system (agent) observe the environment and takes certain actions, and gets rewards in return or gets penalties in certain cases. 
• The agent learns the strategy or policy (choice of actions) that maximizes its rewards over time.

Example of  Reinforcement Learning: 

In manufacturing unit, a robot uses deep reinforcement learning.