Meaning of Reinforcement Learning (RL)

Simple definition

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

How to use Reinforcement Learning (RL) in a professional context

RL is used in robotics, gaming, finance, and autonomous systems.

Concrete example of Reinforcement Learning (RL)

An AI learning to play chess improves by receiving rewards for winning and penalties for losing.