Reinforcement Learning

Entity Type: Glossary ID: reinforcement-learning

Definition: A type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative reward. The agent learns through trial and error, receiving feedback from the environment.

Related Terms: - machine-learning - q-learning - policy-gradient - markov-decision-process

Source Urls: - https://en.wikipedia.org/wiki/Reinforcement_learning

Tags: - foundational - machine-learning - learning-types

Status: active

Version: 1.0.0

Created At: 2025-08-31

Last Updated: 2025-08-31