SRSD uses human-provided semantic labels to learn rewards that encourage reinforcement learning agents to discover a wide variety of meaningful and distinct behaviors.
arXiv preprint arXiv:2406.00324 (2024)
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Leveraging Human Feedback for Semantically-Relevant Skill Discovery
SRSD uses human-provided semantic labels to learn rewards that encourage reinforcement learning agents to discover a wide variety of meaningful and distinct behaviors.