CAREER: Assured Reinforcement Learning from Human Feedback for Cyber-Physical Systems
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This CAREER project will develop new methods that allow cyber-physical systems, such as robotaxis, service robots, and autonomous drones, to adapt to individual human preferences using simple feedback. Today, many such systems rely on fixed rules designed in advance, which makes it difficult for them to respond to differences in how people prefer…
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