Câu 11: RAI: Risk and Artificial Intelligence
An AI agent is trained to provide an optimal flying route in a complex outdoor environment where lighting, terrain, and wind conditions change constantly. Which of the following statements would best support the team’s decision to transition from a simple reinforcement learning approach to a model-free deep reinforcem…
Nội dung câu hỏi
An AI agent is trained to provide an optimal flying route in a complex outdoor environment where lighting, terrain, and wind conditions change constantly. Which of the following statements would best support the team’s decision to transition from a simple reinforcement learning approach to a model-free deep reinforcement learning approach?
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
- A. Simple reinforcement learning approach has limited efficiency in dynamic environmental conditions. — đáp án hiện tại
- B. Simple reinforcement learning approach constantly selects one action over others based on greedy strategy.
- C. Simple reinforcement learning approach updates reward only when the agent completes a round of testing.
- D. Simple reinforcement learning approach takes longer to converge during training.
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