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Exam AIP-210 Topic 4 Question 4 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 4
Topic #: 4
In a self-driving car company, ML engineers want to develop a model for dynamic pathing. Which of following approaches would be optimal for this task?

Suggested Answer: B Vote an answer

Explanation
Reinforcement learning is a type of machine learning that involves learning from trial and error based on rewards and penalties. Reinforcement learning can be used to develop models for dynamic pathing, which is the problem of finding an optimal path from one point to another in an uncertain and changing environment.
Reinforcement learning can enable the model to adapt to new situations and learn from its own actions and feedback. For example, a self-driving car company can use reinforcement learning to train its model to navigate complex traffic scenarios and avoid collisions .

by Alma at May 21, 2024, 06:42 PM

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