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News/Generalize and Guide: Decomposing Rewards for Few-Shot Inverse Reinforcement Learning
arxiv
PublishedJuly 21, 2026 at 4:00 AM

Generalize and Guide: Decomposing Rewards for Few-Shot Inverse Reinforcement Learning

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arXiv:2607.17760v1 Announce Type: cross Abstract: Inverse reinforcement learning (IRL) provides a powerful framework for learning from demonstrations. However, real-world tasks often exhibit substantial natural variations (e.g., picking up mugs with varying shapes), making it impractical to collect

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