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A part of Machine Learning where an agent learns to behave optimally, by performing actions that will either be rewarded or punished. Question Posted on 18 Jun 2020 Home >> Artificial Intelligence >> MFDM >> A part of Machine Learning where an agent learns to behave optimally, by performing actions that will either be rewarded or punished. |
A part of Machine Learning where an agent learns to behave optimally, by performing actions that will either be rewarded or punished.
Choose the correct answer from below list
(1)Supervised Learning
(2)Unsupervised Learning
(3)Reinforcement Learning
Answer:-(3)Reinforcement Learning | |
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