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4 cards from this section. Quick, good the night before a test.
What is adaptive control?
Think about how adjustments are made in response to feedback.
Define reinforcement learning.
Consider how rewards influence learning.
What is the purpose of adaptive control?
Think about how real-time adjustments can improve responses.
True or False: Reinforcement learning only works when there are known outcomes.
Consider how trial and error learning operates.
Design a scenario where reinforcement learning could optimize a robot's performance during excavation. Describe the learning process and expected outcomes.
Think about the rewards given for successful actions.
Discuss how fuzzy logic can be applied in an autonomous vehicle's navigation system where environmental data is often imprecise. Provide an example.
Consider how conventional programming might fail under unclear conditions.
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