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Vocabulary of natural language processing (POC)

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Concept information

Término preferido

reinforcement learning  

Definición

  • 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)

Concepto genérico

Conceptos específicos

Etiquetas alternativas

  • reinforcement machine learning
  • RL

En otras lenguas

URI

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

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