arXiv (OAI Expanded)
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Rethinking the Implications of Human Feedback for Preference Learning in Human-Robot Collaboration
In Human-Robot Interaction, the standard approach to learn a reward model that represents human preferences for robot behavior consists of three steps. First, the robot collects limited direct evidence from human feedback (e.g., positive or negative binary feedback). Then, the robot utilizes the dir
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