In terms of safety, how does the application of reinforcement learning in autonomous vehicles pose potential risks?

  • It enhances safety by improving decision-making.
  • It introduces uncertainty in decision-making.
  • It reduces the need for human intervention.
  • It simplifies the learning process for autonomous vehicles.
The application of reinforcement learning in autonomous vehicles can pose potential risks because it introduces uncertainty in decision-making. Reinforcement learning relies on trial and error, and in real-world situations, this can lead to unexpected and unsafe behavior in autonomous vehicles.
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