arxiv
PublishedJuly 15, 2026 at 4:00 AM
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OOD-RL-Bench: A Benchmark Framework for Out-of-Distribution Detection in Reinforcement Learning
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arXiv:2607.12523v1 Announce Type: cross Abstract: Reliable reinforcement learning (RL) agents must maintain operational integrity amidst sensor malfunctions, dynamic disturbances, and slow environmental shifts. The detection of out-of-distribution conditions is pivotal to determining when an agent's
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Originally published on arxiv ↗