arxiv
PublishedJuly 20, 2026 at 4:00 AM
—neutral
RAD: Retrieval High-quality Demonstrations to Enhance Decision-making
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arXiv:2507.15356v3 Announce Type: replace Abstract: Offline reinforcement learning (RL) learns policies from fixed datasets, thereby avoiding costly or unsafe environment interactions. However, its reliance on finite static datasets inherently restricts the ability to generalize beyond the training
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Originally published on arxiv ↗