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Vocabulary of natural language processing (POC)

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Concept information

Preferred term

reinforcement learning  

Definition

  • A subset of machine learning that allows an AI-driven system (sometimes referred to as an agent) to learn through trial and error using feedback from its actions. This feedback is either negative or positive, signalled as punishment or reward with, of course, the aim of maximising the reward function. (University of York website)

Narrower concepts

Synonym(s)

  • reinforcement machine learning
  • RL

In other languages

URI

http://data.loterre.fr/ark:/67375/8LP-B7HRCSC1-T

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