Meaning of Reinforcement Learning Agent

Simple definition

A reinforcement learning agent is a type of AI that learns by interacting with an environment, receiving feedback in the form of rewards or penalties, and adjusting its actions accordingly.

How to use Reinforcement Learning Agent in a professional context

Reinforcement learning is used in applications like robotics, gaming, and autonomous systems, where decision-making in uncertain environments is critical.

Concrete example of Reinforcement Learning Agent

A reinforcement learning agent trains a robot to navigate a maze by rewarding it for moving closer to the exit.