reinforcement learning

English

Noun

reinforcement learning (uncountable)

(machine learning) A type of explorative learning via feedback in a simulated environment.
Synonym: RL
- 2010, Lutz Frommberger, Qualitative Spatial Abstraction in Reinforcement Learning, Springer Science & Business Media, →ISBN, page 10:
  Reinforcement learning can be seen as somewhere between supervised and unsupervised learning. The learning system receives a feedback for its actions, but it is not provided with examples to learn from.
- 2022, Aske Plaat, Deep Reinforcement Learning, Springer Nature, →ISBN, page 3:
  Let us look more deeply at reinforcement learning, to see what it means to learn from our own actions. Reinforcement learning is a field in which an agent learns by interacting with an environment.

Derived terms

DRL (“deep reinforcement learning”)
RLAIF (“reinforcement learning from AI feedback”)
RLHF (“reinforcement learning from human feedback”)

Translations

Translations

Finnish: vahvistusoppiminen
French: apprentissage par renforcement (fr) m
German: bestärkendes Lernen n

Further reading

reinforcement learning on Wikipedia.Wikipedia

This article is issued from Wiktionary. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.