Let us learn on reinforcement learning.

Reinforcement Learning :

• Reinforcement Learning is based on AI agent automatically learning from experience and improve its performance.

• The agent gets rewarded for each good action and gets punished for bad actions.

• In reinforcement learning there is no labelled data like supervisor learning and the agents learn from their experiences only.

• The reinforcement learning process is similar to human beings day-to-day life experience.

• Reinforcement learning is categorized in two types, Positive Reinforcement Learning and Negative Reinforcement Learning.

• Reinforcement Learning is used in fields like Game theory, Information theory, Robotics, etc.