APPLICATION OF SUPERVISED LEARNING
REINFORCEMENT LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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the computer choose the one with no reward
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the computer choose the one with the lowest reward
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the computer choose the one with the biggest reward
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None of the above
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Detailed explanation-1: -Reinforcement Learning is a type of machine learning algorithm that learns to solve a multi-level problem by trial and error. The machine is trained on real-life scenarios to make a sequence of decisions. It receives either rewards or penalties for the actions it performs. Its goal is to maximize the total reward.
Detailed explanation-2: -Which of the following is true about reinforcement learning? The agent navigates in an environmental building the example experiences or the training dataset. The target of an agent is to maximize the rewards and minimize the penalty.
Detailed explanation-3: -And, unsupervised learning is where the machine is given training based on unlabeled data without any guidance. Whereas reinforcement learning is when a machine or an agent interacts with its environment, performs actions, and learns by a trial-and-error method.