Latent Q-Barrier Shielding for Safe In-Context Reinforcement Learning 事件

Latent Q-Barrier Shielding for Safe In-Context Reinforcement Learning arXiv:2605.25267v1 Announce Type: cross Abstract: Safe in-context reinforcement learning (ICRL) adapts online from interaction history without test-time parameter updates while controlling episode cost under a safety budget. Under out-of-distribution (OOD) deployment shifts, pretraining-only safe ICRL can give poor reward-safety tradeoffs because the remaining budget affects behavior only through frozen policy conditioning, n