COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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It uses rewards and penalty methods to train a model
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It is also known as a semi-supervised learning model
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Chess playing computer is a good example of reinforcement learning
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All of the above
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Detailed explanation-1: -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-2: -Expert-Verified Answer The fourth statement will be considered false as the output used is unknown. The field of machine learning known as reinforcement learning (RL) is concerned with the best course of action for intelligent agents to adopt in a given environment in order to maximize the concept of cumulative reward.
Detailed explanation-3: -Definition. Reinforcement Learning (RL) is the science of decision making. It is about learning the optimal behavior in an environment to obtain maximum reward.
Detailed explanation-4: -Reinforcement Learning is used in multiple areas of NLP like text summarization, question answering, translation, dialogue generation, machine translation etc.
Detailed explanation-5: -Reinforcement learning is an area of Machine Learning. It is about taking suitable action to maximize reward in a particular situation.