Reinforcement learning

Reinforcement learning is a machine learning approach in which an agent learns by acting in an environment and receiving rewards or penalties, gradually discovering behavior that maximizes long-term reward.

Reinforcement learning sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called RL.