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Glossary · Term
Reinforcement Learning
L3 · AdvancedFoundational
In plain terms
Learning to act from rewards through trial and error.
Technical definition
A paradigm where an agent chooses actions in an environment to maximize cumulative reward, learning a policy or value function from the outcomes of its own actions.
Example
An agent learning a maze by getting reward only when it reaches the goal.