Advantages of Reinforcement Learning in Petroleum Refinery Operation
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Questions and Answers

What is the key difference between reinforcement learning and supervised learning?

  • Reinforcement learning uses training data with the answer key, while supervised learning does not.
  • In reinforcement learning, the model is trained with the correct answer itself, whereas in supervised learning, the reinforcement agent decides what to do.
  • Supervised learning involves maximizing rewards, while reinforcement learning involves performing tasks without guidance.
  • Reinforcement learning has no answer key in the training data, while supervised learning has the correct answer. (correct)
  • Which of the following best describes reinforcement learning?

  • Training data contains the answer key for the model
  • A type of unsupervised learning approach
  • Finding the best possible behavior or path in a specific situation (correct)
  • A technique where models are trained with the correct answer itself
  • What does a reinforcement agent do in reinforcement learning?

  • Maximizes rewards by supervised learning
  • Decides what actions to take to perform a given task (correct)
  • Predicts the correct answer for the model
  • Provides data with the answer key to train the model
  • How is reinforcement learning employed by software and machines?

    <p>To find the best possible behavior or path in specific situations to maximize rewards</p> Signup and view all the answers

    Which aspect of reinforcement learning involves deciding what actions to take in a given situation?

    <p><strong>Reinforcement</strong> agent</p> Signup and view all the answers

    In reinforcement learning, what does the agent aim to maximize?

    <p><strong>Reward</strong></p> Signup and view all the answers

    Deep Learning is often considered to be an enhanced version of which technique mentioned?

    <p><strong>Machine Learning</strong></p> Signup and view all the answers

    Convolutional Neural Networks (CNNs) are commonly used in which type of data processing?

    <p><strong>Image</strong> and video data processing</p> Signup and view all the answers

    Regularization techniques are primarily used for what purpose in Deep Learning?

    <p>Preventing overfitting of models</p> Signup and view all the answers

    What types of data does Un-Supervised learning typically deal with?

    <p>Un-structured data without teacher guidance</p> Signup and view all the answers

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