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Machine Learning Inverse Reinforcement Learning

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Multiple Choice

What is the primary goal of Inverse Reinforcement Learning (IRL)?

  1. To train a model to perform a specific task without explicit rewards.
  2. To infer the reward function or preferences of an agent based on observed behavior.
  3. To optimize the performance of a reinforcement learning agent in a given environment.
  4. To generate synthetic data that resembles real-world data.
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