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
-
francés
-
RL
URI
http://data.loterre.fr/ark:/67375/8LP-B7HRCSC1-T
{{label}}
{{#each values }} {{! loop through ConceptPropertyValue objects }}
{{#if prefLabel }}
{{/if}}
{{/each}}
{{#if notation }}{{ notation }} {{/if}}{{ prefLabel }}
{{#ifDifferentLabelLang lang }} ({{ lang }}){{/ifDifferentLabelLang}}
{{#if vocabName }}
{{ vocabName }}
{{/if}}