Explanation

Reinforcement is also known as a reward. Reinforcement Learning is a feedback-based Machine Learning approach in

which an agent learns to behave in a given environment by executing actions and seeing the outcomes of those actions.

 For each positive activity, the agent receives positive feedback or a reward;

for each poor action, the agent receives negative feedback or a punishment.

The agent receives a positive point for a good reward and a negative point for a negative penalty.