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Safety-critical applications need to control maximum cost along a trajectory while maximizing reward. This research studies robust peak-cost constrained reinforcement learning. Its impact on real-world safety is still untested.
“arXiv:2607.15457v1 Announce Type: new Abstract: We study robust peak-cost constrained reinforcement learning (RP-CRL), where the objective is to maximize expected reward while controlling the maximum cost encountered along a trajectory. Thi…”
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Robust Peak-cost Constrained Reinforcement Learning
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LAST OBSERVED
Aug 4, 2026