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News/Provably Safe Sim-to-Real Transfer
arxiv
PublishedSeptember 2, 2026 at 4:00 AM

Provably Safe Sim-to-Real Transfer

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Publisher summary· verbatim

arXiv:2609.01418v1 Announce Type: cross Abstract: To mitigate the sample complexity of real-world reinforcement learning (RL), a common practice is to first train a policy in a simulator, where samples are cheap, and then deploy the learned policy in the real world with the hope that it generalizes

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