Meaning of Reinforcement Learning

Simple definition

Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties.

How to use Reinforcement Learning in a professional context

RL is used in robotics, gaming, and autonomous systems to train machines to perform complex tasks such as driving or playing games.

Concrete example of Reinforcement Learning

In a self-driving car, RL helps the car learn how to navigate roads safely by rewarding the system for correct actions, like avoiding obstacles, and penalizing it for mistakes.