Reinforcement Learning

AI & Data Science

A machine-learning approach in which an agent learns by trial and error through rewards and penalties.

Reinforcement Learning is a machine-learning approach in which an agent learns by trial and error through rewards and penalties.

Related Terms
Machine Learning (ML)
A subset of AI in which systems learn patterns from data and improve at a task without being explicitly programmed.
Supervised / Unsupervised Learning
Machine-learning approaches that train on labelled data (supervised) or find structure in unlabelled data (unsupervised).
Artificial Intelligence (AI)
Computer systems that perform tasks normally requiring human intelligence, such as reasoning, perception, language and decision-making.
7AI
Edwisely's Student Intelligence Model that analyses each learner across seven dimensions, far beyond a single grade, to build a living knowledge map that powers personalised learning paths and an early-warning system for intervention.
AI Literacy
The ability to understand, use and critically evaluate AI tools and their outputs.