APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Deep Learning
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Loop Learning
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Reinforcement Learning
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Learning with Algorithm
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Detailed explanation-1: -In Reinforcement Learning (RL), agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished for the wrong ones. In doing so, the agent tries to minimize wrong moves and maximize the right ones.
Detailed explanation-2: -Rewards play a critical role in reinforcement learning by providing a motivation for agents to learn and explore. Without rewards, agents would have no way of knowing which controls are important and would be unlikely to make any progress in completing its assigned task or solve a certain control problem.
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.