APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Supervised learning
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unsupervised learning
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Reinforcement learning
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None of these Reinforcement learning is an area of Machine Learning. It is about taking suitable action to maximize reward in a particular situation.
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Detailed explanation-1: -Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward.
Detailed explanation-2: -Reinforcement learning is a machine learning training method based on rewarding desired behaviors and/or punishing undesired ones. In general, a reinforcement learning agent is able to perceive and interpret its environment, take actions and learn through trial and error.
Detailed explanation-3: -To guide the learning process, reinforcement learning uses a scalar reward signal generated from the environment. This signal measures the performance of the agent with respect to the task goals. In other words, for a given observation (state), the reward measures the effectiveness of taking a particular action.
Detailed explanation-4: -It is about taking suitable action to maximize reward in a particular situation. It is based on the Reward and Policy principle. Agents perform actions, in response gets reward/penalty, the state will be changed, and based on that policy will be made. More items