APPLICATION OF SUPERVISED LEARNING
REINFORCEMENT LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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reward and punishment
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labels and features
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only features
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None of the above
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Detailed explanation-1: -Reinforcement learning, in the context of machine learning and artificial intelligence (AI), is a type of dynamic programming that trains algorithms using a system of reward and punishment. A reinforcement learning algorithm, which may also be referred to as an agent, learns by interacting with its environment.
Detailed explanation-2: -Developed by B.F Skinner, operant conditioning is a way of learning by means of rewards and punishments. This type of conditioning holds that a certain behavior and a consequence, either a reward or punishment, have a connection which brings about learning.
Detailed explanation-3: -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.