What is 'Reinforcement Learning'?

What is 'Reinforcement Learning'?

Approach: Describe an agent learning to act in an environment to maximize rewards.

A machine learning paradigm where an agent learns to make decisions by performing actions in an environment to maximize a cumulative reward. It learns through trial and error (exploration vs exploitation).

Follow-up: What is a Markov Decision Process (MDP)?

Key concepts: agent, state, action, reward, policy.