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reinforcement learning

noun \ˌrē-ən-ˈfȯrs-mənt ˈlər-niŋ\

also RL

TopicTraining Senses1
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Definition of reinforcement learning

  1. : a way of training in which a model tries actions, receives rewards or penalties, and gradually learns which behavior earns the most reward

    • Reinforcement learning taught the program to beat world champions at Go.
    • Labs now use reinforcement learning on math and coding tasks where answers can be checked automatically.

Origin & history

Rooted in psychology's study of trial-and-error learning; formalized for computers in the 1980s.

Test yourself

Which of these is the meaning of reinforcement learning?

Related terms

RLHF reinforcement learning from human feedback: a training method in which people rate or compare… reward model a separate model trained to score how good a response is, used to guide reinforcement learning… reward hacking when an AI finds a shortcut that earns a high score from its reward or test without actually… reasoning model a language model trained to work through a problem step by step before giving its final…

Cite this entry

"Reinforcement learning." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/reinforcement-learning/. Accessed 4 Oct. 2026.

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