Machine Learning Policy Gradients

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What is the primary goal of policy gradient methods in machine learning?

  1. To optimize the parameters of a policy network
  2. To minimize the loss function of a supervised learning model
  3. To find the optimal solution to a combinatorial optimization problem
  4. To generate synthetic data for training machine learning models
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