« Error-driven learning » : différence entre les versions
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is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to minimize some error feedback. It is a type of reinforcement learning. | is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to minimize some error feedback. It is a type of reinforcement learning. | ||
==Sources== | |||
[https://en.wikipedia.org/wiki/Glossary_of_artificial_intelligence Source : Wikipedia] | [https://en.wikipedia.org/wiki/Glossary_of_artificial_intelligence Source : Wikipedia] | ||
Version du 27 janvier 2024 à 21:56
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Error-driven learning
is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to minimize some error feedback. It is a type of reinforcement learning.
Sources
Contributeurs: wiki
