COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Reinforcement Learning is normally applied in gaming and robotics
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Self-supervised Learning is Reinforcement Learning
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Markov Decision Process and Q-learning are Reinforcement Learning
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DeepMind AlphaGo that has defeated human Go world champions was trained by using Reinforcement Learning
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Detailed explanation-1: -The reversibility component added to the RL procedure is learned from interactions, and crucially, is a model that can be trained separate from the agent itself. The model training is self-supervised and does not require that the data be labeled with the reversibility of the actions.
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: -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-4: -Answer-A) PCA Is not supervised learning.