ParallelCBF is a composable framework that unifies tensor-parallel UAV environments, hard-gate CBF safety filters, sharded BC-to-RL pipelines, and operational auditability as first-class APIs for safe reinforcement learning.
Hypothesis: A new approach to property-based testing.Journal of Open Source Software, 4(43):1891, 2019
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parallelcbf: A composable safety-filter and auditability framework for tensor-parallel reinforcement learning
ParallelCBF is a composable framework that unifies tensor-parallel UAV environments, hard-gate CBF safety filters, sharded BC-to-RL pipelines, and operational auditability as first-class APIs for safe reinforcement learning.