AI RESEARCH
parallelcbf: A composable safety-filter and auditability framework for tensor-parallel reinforcement learning
arXiv CS.LG
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ArXi:2605.15509v1 Announce Type: new While Isaac Lab provides massive parallel UAV simulation, OmniSafe and safe-control-gym provide constrained-RL benchmarks, and CBFKit provides control-barrier-function synthesis tooling, no existing framework unifies these capabilities for end-to-end safety-constrained