arxiv
PublishedJuly 18, 2026 at 4:00 AM
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RAD: Retrieval High-quality Demonstrations to Enhance Decision-making
Publisher summary· verbatim
arXiv:2507.15356v2 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 ↗