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)
Broader concept
Narrower concepts
Synonym(s)
- reinforcement machine learning
- RL
In other languages
-
French
-
RL
URI
http://data.loterre.fr/ark:/67375/8LP-B7HRCSC1-T
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