COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Active learning
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Reinforcement learning
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Supervised learning
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Unsupervised learning
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Detailed explanation-1: -6. In which of the following learning the teacher returns reward and punishment to learner? Explanation: Reinforcement learning is the type of learning in which teacher returns reward or punishment to learner.
Detailed explanation-2: -Reinforcement learning is all about gamifying the learning process. This type of machine learning uses a reward-penalty method to teach an AI system. If it makes the right move, it gets rewarded. If it makes a mistake, it receives a penalty.
Detailed explanation-3: -Here are applications of Reinforcement Learning: Robotics for industrial automation. Business strategy planning. Machine learning and data processing.
Detailed explanation-4: -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-5: -Reinforcement Learning is used in multiple areas of NLP like text summarization, question answering, translation, dialogue generation, machine translation etc.