« 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==
==Sources==

Dernière version du 31 janvier 2024 à 11:12


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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

Source : Wikipedia



Contributeurs: wiki