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.
Safe-control-gym: A unified benchmark suite for safe learning-based control and reinforcement learning in robotics.IEEE Robotics and Automation Letters, 7(4):11142–11149, 2022
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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.