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Vocabulary of natural language processing (POC)

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Concept information

NLP methods and tools > artificial intelligence > machine learning > machine learning approach > reinforcement learning

Terme préférentiel

reinforcement learning  

Définition

  • 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)

Concept générique

Concepts spécifiques

Synonyme(s)

  • reinforcement machine learning
  • RL

Traductions

URI

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

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