Reinforcement Learning

Definition

Reinforcement learning focuses on training agents to make sequences of decisions by maximizing cumulative rewards through trial-and-error interactions with their environment, enabling applications in robotics, gaming, and autonomous systems.

When Reinforcement Learning is used

Game-playing AI

Which positions need this?

AI Researchers

Problem

Difficulty in optimizing complex decision-making processes without clear guidance.

Example of how Reinforcement Learning is used in AI

An AI agent learns to play chess by receiving rewards for winning games and penalties for losing, gradually improving its strategies through self-play.